Letteratura scientifica selezionata sul tema "Internet des objets social (IoT social)"
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Articoli di riviste sul tema "Internet des objets social (IoT social)":
1
Milivojević, Sanja, e Elizabeth Radulski. "The 'Future Internet' and crime: Towards a criminology of the Internet of Things". Crimen 11, n. 3 (2020): 255–71. http://dx.doi.org/10.5937/crimen2003255m.
Abstract (sommario):
The Internet of Things (IoT) is poised to revolutionise the way we live and communicate, and the manner in which we engage with our social and natural world. In the IoT, objects such as household items, vending machines and cars have the ability to sense and share data with other things, via wireless, Bluetooth, or Radio Frequency IDentification (RFID) technology. "Smart things" have the capability to control their performance, as well as our experiences and decisions. In this exploratory paper, we overview recent developments in the IoT technology, and their relevance for criminology. Our aim is to partially fill the gap in the literature, by flagging emerging issues criminologists and social scientists ought to engage with in the future. The focus is exclusively on the IoT while other advances, such as facial recognition technology, are only lightly touched upon. This paper, thus, serves as a starting point in the conversation, as we invite scholars to join us in forecasting-if not preventing-the unwanted consequences of the "future Internet".
2
Naderlou, Lida, Nigar Ismayilova e Azar Feyziyev. "A REVIEW SIOT (SOCIAL INTERNET OF THINGS): TECHNIQUES, APPLICATIONS, CHALLENGES AND TRENDS". Azerbaijan Journal of High Performance Computing 5, n. 2 (31 dicembre 2022): 236–53. http://dx.doi.org/10.32010/26166127.2022.5.2.236.253.
Abstract (sommario):
The social or human actions in the IoT platform derive the new paradigm in the IoT environment called the Social Internet of Things (SIoT). The Social Internet of Things is that part of an IoT capable of establishing social relationships with other objects concerning humans. SIoT attempts to moderate IoT challenges in scalability, trust, and resource discovery by taking a cue from social computing. In the IoT family, there is a subset of SIoT, a relatively recent concept. Moreover, a method of integrating IoT with social networking. SIoT is a simulation of human-to-human and object-to-object social networks where Humans are called intellectual and relational objects. They build their social network to accomplish shared objectives such as enhancing accessibility, success, and productivity and providing their needed services. This paper has extensively surveyed the SIoT (social Internet of things) for beginners involved in SIoT Studies. This paper gives you a clear view and ideas about SIoT's architecture, relationships, trust management, and applications and challenges implemented related to SIoT.
3
Shin, Taehwan, e Jinsung Byun. "Design and Implementation of a Vehicle Social Enabler Based on Social Internet of Things". Mobile Information Systems 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/4102163.
Abstract (sommario):
In recent years, the combination of novel context-aware systems with the Internet of Things (IoT) has received great attention with the advances in network and context-awareness technologies. Various context-aware consumer electronics based on IoT for intelligent and personalized user-centric services have been introduced. However, although the paradigm of the IoT has evolved from smart objects into social objects, the existing context-aware systems have not reflected the changes in these paradigms well. Therefore, this paper proposes a social enabler (S-Enabler) in order to overcome this limitation. The S-Enabler plays an important role in converting the existing objects into social objects. This paper presents the middleware architecture and cooperation processes for a social IoT-based smart system. In this paper, the S-Enabler is designed to be applied to a vehicle and an energy saving service is introduced by using the S-Enabler. The proposed energy saving service can reduce energy consumption and fuel consumption based on social behaviors such as sharing or competition. The performance of the S-Enabler is discussed through a simple vehicle service scenario. The experimental results show that the S-Enabler reduced fuel consumption by up to 31.7%.
4
Gao, Yunpeng, e Nan Zhang. "Social Security and Privacy for Social IoT Polymorphic Value Set: A Solution to Inference Attacks on Social Networks". Security and Communication Networks 2019 (28 agosto 2019): 1–16. http://dx.doi.org/10.1155/2019/5498375.
Abstract (sommario):
Social Internet of Things (SIoT) integrates social network schemes into Internet of Things (IoT), which provides opportunities for IoT objects to form social communities. Existing social network models have been adopted by SIoT paradigm. The wide distribution of IoT objects and openness of social networks, however, make it more challenging to preserve privacy of IoT users. In this paper, we present a novel framework that preserves privacy against inference attacks on social network data through ranked retrieval models. We propose PVS, a privacy-preserving framework that involves the design of polymorphic value sets and ranking functions. PVS enables polymorphism of private attributes by allowing them to respond to different queries in different ways. We begin this work by identifying two classes of adversaries, authenticity-ignorant adversary, and authenticity-knowledgeable adversary, based on their knowledge of the distribution of private attributes. Next, we define the measurement functions of utility loss and propose PVSV and PVST that preserve privacy against authenticity-ignorant and authenticity-knowledgeable adversaries, respectively. We take into account the utility loss of query results in the design of PVSV and PVST. Finally, we show that PVSV and PVST meet the privacy guarantee with acceptable utility loss in extensive experiments over real-world datasets.
5
Jung, Jooik, Sejin Chun, Xiongnan Jin e Kyong-Ho Lee. "Enabling smart objects discovery via constructing hypergraphs of heterogeneous IoT interactions". Journal of Information Science 44, n. 1 (1 ottobre 2016): 110–24. http://dx.doi.org/10.1177/0165551516674164.
Abstract (sommario):
Recent advances in the Internet of Things (IoT) have led to the rise of a new paradigm: Social Internet of Things (SIoT). However, the new paradigm, as inspired by the idea that smart objects will soon have a certain degree of social consciousness, is still in its infant state for several reasons. Most of the related works are far from embracing the social aspects of smart objects and the dynamicity of inter-object social relations. Furthermore, there is yet to be a coherent structure for organising and managing IoT objects that elicit social-like features. To fully understand how and to what extent these objects mimic the behaviours of humans, we first model SIoT by scrutinising the distinct characteristics and structural facets of human-centric social networks. To elaborate, we describe the process of profiling the IoT objects that become social and classify various inter-object social relationships. Afterwards, a novel discovery mechanism, which utilises our hypergraph-based overlay network model, is proposed. To test the feasibility of the proposed approach, we have performed several experiments on our smart home automation demo box built with various sensors and actuators.
6
Aldelaimi, Monira N., M. Anwar Hossain e Mohammed F. Alhamid. "Building Dynamic Communities of Interest for Internet of Things in Smart Cities". Sensors 20, n. 10 (25 maggio 2020): 2986. http://dx.doi.org/10.3390/s20102986.
Abstract (sommario):
The Internet of things (IoT) is a growing area of research in the context of smart cities. It links a city’s physical objects that are equipped with embedded sensing, communicating, and computing technology. These objects possess the capability to connect and share data with minimal human intervention, which creates the potential to establish social relationships among them. However, it is challenging for an object to discover, communicate, and collaborate dynamically with other objects, such as social entities, and provide services to humans. This is due to the increase in the number of objects and the complexity in defining social-like relationships among them. The current research aims to address this by introducing an object architecture and defining a Dynamic Community of Interest Model (DCIM) for IoT objects. The proposed model will help IoT objects to socialize and build communities amongst themselves based on different criteria. In this approach, objects belonging to a community will collaborate with each other to collect, manipulate, and share interesting content and provide services to enhance the quality of human interactions in smart cities.
7
Muhammad, Shad, Muneer Umar, Shafiullah Khan, A. Alrajeh e A. Mohammed. "Honesty-Based Social Technique to Enhance Cooperation in Social Internet of Things". Applied Sciences 13, n. 5 (21 febbraio 2023): 2778. http://dx.doi.org/10.3390/app13052778.
Abstract (sommario):
The Social Internet of Things (SIoT) can be seen as integrating the social networking concept into the Internet of Things (IoT). Such networks enable different devices to form social relationships among themselves depending on pre-programmed rules and the preferences of their owners. When SIoT devices encounter one another on the spur of the moment, they seek out each other’s assistance. The connectivity of such smart objects reveals new horizons for innovative applications empowering objects with cognizance. This enables smart objects to socialize with each other based on mutual interests and social aspects. Trust building in social networks has provided a new perspective for providing services to providers based on relationships like human ones. However, the connected IoT nodes in the community may show a lack of interest in forwarding packets in the network communication to save their resources, such as battery, energy, bandwidth, and memory. This act of selfishness can highly degrade the performance of the network. To enhance the cooperation among nodes in the network a novel technique is needed to improve the performance of the network. In this article, we address the issue of the selfishness of the nodes through the formation of a credible community based on honesty. A social process is used to form communities and select heads in these communities. The selected community heads having social attributes prove effective in determining the social behavior of the nodes as honest or selfish. Unlike other schemes, the dishonest nodes are isolated in a separate domain, and they are given several chances to rejoin the community after increasing their honesty levels. The proposed social technique was simulated using MATLAB and compared with existing schemes to show its effectiveness. Our proposed technique outperforms the existing techniques in terms of throughput, overhead, packet delivery ratio (PDR), and packet-delivery latency.
8
Chen, Yuanyi, Yanyun Tao, Zengwei Zheng e Dan Chen. "Graph-based service recommendation in Social Internet of Things". International Journal of Distributed Sensor Networks 17, n. 4 (aprile 2021): 155014772110090. http://dx.doi.org/10.1177/15501477211009047.
Abstract (sommario):
While it is well understood that the emerging Social Internet of Things offers the capability of effectively integrating and managing massive heterogeneous IoT objects, it also presents new challenges for suggesting useful objects with certain service for users due to complex relationships in Social Internet of Things, such as user’s object usage pattern and various social relationships among Social Internet of Things objects. In this study, we focus on the problem of service recommendation in Social Internet of Things, which is very important for many applications such as urban computing, smart cities, and health care. We propose a graph-based service recommendation framework by jointly considering social relationships of heterogeneous objects in Social Internet of Things and user’s preferences. More exactly, we learn user’s preference from his or her object usage events with a latent variable model. Then, we model users, objects, and their relationships with a knowledge graph and regard Social Internet of Things service recommendation as a knowledge graph completion problem, where the “like” property that connects users to services needs to be predicted. To demonstrate the utility of the proposed model, we have built a Social Internet of Things testbed to validate our approach and the experimental results demonstrate its feasibility and effectiveness.
9
Kilani, Rim, Ahmed Zouinkhi, Eddy Bajic e Mohamed Naceur Abdelkrim. "A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT Objects". Electronics 11, n. 8 (18 aprile 2022): 1281. http://dx.doi.org/10.3390/electronics11081281.
Abstract (sommario):
The concept of the Internet of Things (IoT) is widely discussed. IoT is one of the emerging technologies that have caught the attention of many researchers. The increase in the number of exchanges of services between heterogeneous or homogeneous connected objects with the integration of social networking concepts gives rise to the concept of the Social Internet of Things (SIoT). The SIoT concept contributes to the evolution of interactions between industrial objects by improving deterministic mechanisms towards intelligent interactions. The integration of the SIoT concept into the Industrial Internet of Things (IIoT) gives rise to the Social Internet of Industrial Things (SIoIT) and plays an important role in improving system performance in Industry 4.0. In this article, we propose an innovative methodology and a model of socio-inspired interaction between industrial communicating objects inspired by sociological approaches. Thanks to this model, socialized industrial communicating objects form a community of objects, autonomously and dynamically, by exchanging messages to know each other perfectly, and service requests between objects are executed adaptively according to the principles of social interaction governed by socio-inspired strategies and conditions. The model is implemented, tested and validated in a Netlogo multi-agent system simulation environment.
10
Chukhno, Olga, Nadezhda Chukhno, Giuseppe Araniti, Claudia Campolo, Antonio Iera e Antonella Molinaro. "Optimal Placement of Social Digital Twins in Edge IoT Networks". Sensors 20, n. 21 (30 ottobre 2020): 6181. http://dx.doi.org/10.3390/s20216181.
Abstract (sommario):
In next-generation Internet of Things (IoT) deployments, every object such as a wearable device, a smartphone, a vehicle, and even a sensor or an actuator will be provided with a digital counterpart (twin) with the aim of augmenting the physical object’s capabilities and acting on its behalf when interacting with third parties. Moreover, such objects can be able to interact and autonomously establish social relationships according to the Social Internet of Things (SIoT) paradigm. In such a context, the goal of this work is to provide an optimal solution for the social-aware placement of IoT digital twins (DTs) at the network edge, with the twofold aim of reducing the latency (i) between physical devices and corresponding DTs for efficient data exchange, and (ii) among DTs of friend devices to speed-up the service discovery and chaining procedures across the SIoT network. To this aim, we formulate the problem as a mixed-integer linear programming model taking into account limited computing resources in the edge cloud and social relationships among IoT devices.
Tesi sul tema "Internet des objets social (IoT social)":
1
Masmoudi, Mariam. "Prévention des attaques de confiance en temps réel dans l'IoT social". Electronic Thesis or Diss., Toulouse 3, 2023. http://www.theses.fr/2023TOU30302.
Abstract (sommario):
L'IoT social est un nouveau paradigme qui améliore la navigabilité des réseaux IoT et stimule la découverte de services en intégrant les contextes sociaux. Néanmoins, ce paradigme est confronté à plusieurs défis qui réduisent la qualité de ses performances. La confiance, en particulier les attaques de confiance, est l'un des défis les plus importants. Certains utilisateurs adoptent des comportements malveillants et lancent des attaques pour propager des services malveillants. Un mécanisme de gestion de la confiance est devenu une exigence majeure dans l'IoT social pour prévenir ces attaques en temps réel et garantir des expériences dignes de confiance pour les utilisateurs finaux. Cependant, peu de travaux ont abordé les questions de gestion de la confiance pour prévenir les attaques de confiance dans les environnements de l'IoT social. La plupart des études ont été menées pour détecter les attaques en mode hors ligne avec ou sans spécification du type d'attaque réalisée. En outre, elles n'ont pas pris en compte les propriétés de sécurité, telles que la cryptographie, la transparence et l'immutabilité, etc. A cet égard, nous devons traiter les transactions en continu pour prévenir ces attaques au niveau de la génération des transactions en temps réel tout en maintenant les propriétés de sécurité. Pour ce faire, nous avons comparé les techniques et technologies utilisées précédemment, dont le point commun est la prévention des attaques dans les contextes sociaux et l'IoT. Sur la base de ces comparaisons, nous avons indiqué que la technologie blockchain peut aider à développer un mécanisme de gestion de la confiance qui peut prévenir les attaques de confiance tout en maintenant la sécurité. Pour le temps réel, nous avons proposé de combiner un moteur de traitement de flux distribué, connu sous le nom d'Apache Spark, avec la technologie blockchain. Notre choix est basé sur une comparaison des moteurs de traitement de flux de données open source. En conséquence, nous proposons un nouveau mécanisme de gestion de la confiance, basé sur la blockchain et Apache Spark. Ce mécanisme permet de prévenir en temps réel tous les types d'attaques de confiance effectuées par des nœuds malveillants, afin d'obtenir un environnement fiable. L'expérimentation réalisée sur un jeu de données réelles nous permet de prouver la performance de notre propositionThe social IoT is a new paradigm that enhances the navigability of IoT networks and boosts service discovery by integrating social contexts. Nonetheless, this paradigm faces several challenges that reduce its performance quality. Trust, particularly trust attacks, is one of the most significant challenges. Some users resort to malicious behaviors and launch attacks to propagate malicious services. A trust management mechanism has become a major requirement in Social IoT to prevent these attacks in real-time and ensure trustworthy experiences for end-users. However, few studies have addressed trust management issues to prevent trust attacks in Social IoT environments. Most studies have been conducted to detect offline attacks with or without specifying the type of attack performed. Moreover, they did not consider security properties, such as cryptography, transparency, and immutability, etc. In fact, we must continuously process transactions to prevent these attacks at the transaction generation level while maintaining security properties. For this, we compared the previously used techniques and technologies, whose common point is attack prevention in the SN and IoT areas. Based on these comparisons, we indicated that blockchain technology can assist in developing a trust management mechanism that can prevent trust attacks while maintaining security. For real-time prevention, we proposed the combination of a distributed stream processing engine, known as Apache Spark, with blockchain technology. Our choice is based on a comparison of open-source data-stream processing engines. As a result, we propose a new trust management mechanism, based on blockchain and Apache Spark. This mechanism permit to prevent in real-time all trust attack types performed by malicious nodes, in order to obtain a reliable environment. Experimentation made on a real data-set enable us to prove the performance of our proposition
2
Hussein, Ali Dina. "A social Internet of Things application architecture : applying semantic web technologies for achieving interoperability and automation between the cyber, physical and social worlds". Thesis, Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0024/document.
Abstract (sommario):
Récemment, l'intégration entre les environnements informatiques et de réseautage a été largement promu pour fournir des services intelligents à des utilisateurs finaux ainsi que l'utilisation efficace des ressources. Cette convergence a ouvert la voie à l'émergence de l'internet des objets (IdO). Le paradigme de l'IdO repose principalement sur la fabrication d'objets, appelés les choses, disparaître et se tissent dans le tissu de notre vie de tous les jours pour nous soutenir dans l'accomplissement des activités quotidiennes. L'évolutivité et l'hétérogénéité sont parmi les principaux défis qui entravent la réalisation à grande échelle de services de l'IdO dans la vie quotidienne des utilisateurs. Afin de relever les défis de l'IdO, un nouveau volet de recherche est venu en avant dans la littérature comme une classe paradigmatique des Cyber-physiques systèmes sociaux (CSPR), qui est connu comme l'Internet social des choses (Siot). Le SIOT se fonde sur la notion soulignée par phénomène petite-monde où la structure sociale permettant relation sociale fondée sur la confiance entre les personnes et les objets, d'une manière qui ressemble à des services de réseaux sociaux traditionnels (SNS) est suggérée de relever les défis de l'IdO. Cependant, depuis SIOT hérite des caractéristiques de différents informatiques et de réseautage environnements (par exemple, l'IdO et SNS) cela, en fait, augmente la quantité et la variété des données contextuelles qui doit être manipulé pour Adaptive fourniture de services dans Siot, qui agit comme le principal défi adressé dans cette thèse. Autrement dit, dans cette thèse, nous proposons la notion de contexte cognitif lorsque, dans certaine situation spatio-temporelle, le raisonnement sur les aspects objectifs du cadre, ce qui représente l'environnement physique, avec le contexte subjective, qui représente les aspects comportementaux et sociaux, est considéré comme l'amélioration des services SIOT intelligence et la capacité d'adaptation aux besoins conjoncturels des utilisateurs. Nous envisageons technologies du Web sémantique pour déployer notre contexte cognitif proposé dans deux domaines d'application; sensible au contexte recommandation des tâches quotidiennes dans les maisons intelligentes et structure sociale dépendant de la situation des choses. Un prototype de preuve de concept a été développé pour chaque domaine d'application, dans le but de démontrer l'intégration harmonieuse des objets sur le Web pour la réalisation de certaines applications. Nos résultats empiriques montrent un niveau de service amélioré l'adaptabilité et la complexité en temps de fonctionner lors de l'application de notre contexte cognitif suggéréThe paradigm of the Social Internet of Things (SIoT) is being promoted in the literature to boost a new trend wherein the benefits of social network services are exhibited within the network of connected objects i.e., the Internet of Things (IoT). The novel user-friendly interaction framework of the SIoT opens the doors for enhancing the intelligence required to stimulate a shift in the IoT from a heterogeneous network of independently connected objects towards a manageable network of everything. In practice, achieving scalability within the large-scale and the heterogeneous paradigm of the IoT while maintaining on top of its user-friendly and intuitive services to bridge human-to-machine perceptions and encourage the technology’s adaptation is a major challenge which is hindering the realization and deployment of the IoT technologies and applications into people’s daily live. For the goal of handling IoT challenges, as well as improve the level of smart services adaptability to users’ situational needs, in this thesis, novel SIoT-based application architecture is provided. That is, Semantic Web Technologies are envisaged as a means to develop automated, value-added services for SIoT. While, interoperability and automation are essential requirement to seamlessly integrate such services into user life, Ontologies are used to semantically describe Web services with the aim of enabling the automatic invocation and composition of these services as well as support interactions across the cyber, physical and social worlds. On the other hand, handling the variety of contextual data in SIoT for intelligent decision making is another big challenge which is still in very early stages of research. In this thesis we propose a cognitive reasoning approach taking into consideration achieving situational-awareness (SA) in SIoT. This reasoning approach is deployed within two application domains where results show an improved level of services adaptability compared to location-aware services which are previously proposed in the literature
3
Hussein, Ali Dina. "A social Internet of Things application architecture : applying semantic web technologies for achieving interoperability and automation between the cyber, physical and social worlds". Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0024.
Abstract (sommario):
Récemment, l'intégration entre les environnements informatiques et de réseautage a été largement promu pour fournir des services intelligents à des utilisateurs finaux ainsi que l'utilisation efficace des ressources. Cette convergence a ouvert la voie à l'émergence de l'internet des objets (IdO). Le paradigme de l'IdO repose principalement sur la fabrication d'objets, appelés les choses, disparaître et se tissent dans le tissu de notre vie de tous les jours pour nous soutenir dans l'accomplissement des activités quotidiennes. L'évolutivité et l'hétérogénéité sont parmi les principaux défis qui entravent la réalisation à grande échelle de services de l'IdO dans la vie quotidienne des utilisateurs. Afin de relever les défis de l'IdO, un nouveau volet de recherche est venu en avant dans la littérature comme une classe paradigmatique des Cyber-physiques systèmes sociaux (CSPR), qui est connu comme l'Internet social des choses (Siot). Le SIOT se fonde sur la notion soulignée par phénomène petite-monde où la structure sociale permettant relation sociale fondée sur la confiance entre les personnes et les objets, d'une manière qui ressemble à des services de réseaux sociaux traditionnels (SNS) est suggérée de relever les défis de l'IdO. Cependant, depuis SIOT hérite des caractéristiques de différents informatiques et de réseautage environnements (par exemple, l'IdO et SNS) cela, en fait, augmente la quantité et la variété des données contextuelles qui doit être manipulé pour Adaptive fourniture de services dans Siot, qui agit comme le principal défi adressé dans cette thèse. Autrement dit, dans cette thèse, nous proposons la notion de contexte cognitif lorsque, dans certaine situation spatio-temporelle, le raisonnement sur les aspects objectifs du cadre, ce qui représente l'environnement physique, avec le contexte subjective, qui représente les aspects comportementaux et sociaux, est considéré comme l'amélioration des services SIOT intelligence et la capacité d'adaptation aux besoins conjoncturels des utilisateurs. Nous envisageons technologies du Web sémantique pour déployer notre contexte cognitif proposé dans deux domaines d'application; sensible au contexte recommandation des tâches quotidiennes dans les maisons intelligentes et structure sociale dépendant de la situation des choses. Un prototype de preuve de concept a été développé pour chaque domaine d'application, dans le but de démontrer l'intégration harmonieuse des objets sur le Web pour la réalisation de certaines applications. Nos résultats empiriques montrent un niveau de service amélioré l'adaptabilité et la complexité en temps de fonctionner lors de l'application de notre contexte cognitif suggéréThe paradigm of the Social Internet of Things (SIoT) is being promoted in the literature to boost a new trend wherein the benefits of social network services are exhibited within the network of connected objects i.e., the Internet of Things (IoT). The novel user-friendly interaction framework of the SIoT opens the doors for enhancing the intelligence required to stimulate a shift in the IoT from a heterogeneous network of independently connected objects towards a manageable network of everything. In practice, achieving scalability within the large-scale and the heterogeneous paradigm of the IoT while maintaining on top of its user-friendly and intuitive services to bridge human-to-machine perceptions and encourage the technology’s adaptation is a major challenge which is hindering the realization and deployment of the IoT technologies and applications into people’s daily live. For the goal of handling IoT challenges, as well as improve the level of smart services adaptability to users’ situational needs, in this thesis, novel SIoT-based application architecture is provided. That is, Semantic Web Technologies are envisaged as a means to develop automated, value-added services for SIoT. While, interoperability and automation are essential requirement to seamlessly integrate such services into user life, Ontologies are used to semantically describe Web services with the aim of enabling the automatic invocation and composition of these services as well as support interactions across the cyber, physical and social worlds. On the other hand, handling the variety of contextual data in SIoT for intelligent decision making is another big challenge which is still in very early stages of research. In this thesis we propose a cognitive reasoning approach taking into consideration achieving situational-awareness (SA) in SIoT. This reasoning approach is deployed within two application domains where results show an improved level of services adaptability compared to location-aware services which are previously proposed in the literature
4
Ciortea, Andrei-Nicolae. "Tisser le Web Social des Objets : Permettre une Interaction Autonome et Flexible dans l’Internet des Objets". Thesis, Lyon, 2016. http://www.theses.fr/2016EMSE0813/document.
Abstract (sommario):
L’Internet des Objets (IoT) vise à créer un eco-système global et ubiquitaire composé d’un grand nombre d’objets hétérogènes. Afin d’atteindre cette vision, le World Wide Web apparaît comme un candidat adapté pour interconnecter objets et services à la couche applicative en un Web des Objets (WoT).Cependant l’évolution actuelle du WoT produit des silos d’objets et empêche ainsi la mise en place de cette vision. De plus, même si le Web facilite la composition d’objets et services hétérogènes, les approches existantes produisent des compositions statiques incapables de s’adapter à des environnements dynamiques et des exigences évolutives. Un autre défi est à relever: permettre aux personnes d’interagir avec le vaste, évolutif et hétérogène IoT.Afin de répondre à ces limitations, nous proposons une architecture pour IoT ouvert et autogouverné, constitué de personnes et d’objets situés, en interaction avec un environnement global via des plateformes hétérogènes. Notre approche consiste de rendre les objets autonomes et d’appliquer la métaphore des réseaux sociaux afin de créer des réseaux flexibles de personnes et d’objets. Nous fondons notre approche sur les résultats issus des domaines des multi-agents et du WoT afin de produit un WoT Social.Notre proposition prend en compte les besoins d’hétérogénéité, de découverte et d’interaction flexible dans l’IoT. Elle offre également un coût minimal pour les développeurs et les utilisateurs via différentes couches d’abstraction permettant de limité la complexité de cet éco-système. Nous démontrons ces caractéristiques par la mise en oeuvre de plus scénarios applicatifsThe Internet of Things (IoT) aims to create a global ubiquitous ecosystem composed of large numbers of heterogeneous devices. To achieve this vision, the World Wide Web is emerging as a suitable candidate to interconnect IoT devices and services at the application layer into a Web of Things (WoT).However, the WoT is evolving towards large silos of things, and thus the vision of a global ubiquitous ecosystem is not fully achieved. Furthermore, even if the WoT facilitates mashing up heterogeneous IoT devices and services, existing approaches result in static IoT mashups that cannot adapt to dynamic environments and evolving user requirements. The latter emphasizes another well-recognized challenge in the IoT, that is enabling people to interact with a vast, evolving, and heterogeneous IoT.To address the above limitations, we propose an architecture for an open and self-governed IoT ecosystem composed of people and things situated and interacting in a global environment sustained by heterogeneous platforms. Our approach is to endow things with autonomy and apply the social network metaphor to createflexible networks of people and autonomous things. We base our approach on results from multi-agent and WoT research, and we call the envisioned IoT ecosystem the Social Web of Things.Our proposal emphasizes heterogeneity, discoverability and flexible interaction in the IoT. In the same time, it provides a low entry-barrier for developers and users via multiple layers of abstraction that enable them to effectively cope with the complexity of the overall ecosystem. We implement several application scenarios to demonstrate these features
5
NITTI, MICHELE. "Managing the Internet of Things based on its Social Structure". Doctoral thesis, Università degli Studi di Cagliari, 2014. http://hdl.handle.net/11584/266422.
Abstract (sommario):
Society is moving towards an “always connected” paradigm, where the Internet user is shifting from persons to things, leading to the so called Internet of Things (IoT) scenario. The IoT vision integrates a large number of technologies and foresees to embody a variety of smart objects around us (such as sensors, actuators, smartphones, RFID, etc.) that, through unique addressing schemes and standard communication protocols, are able to interact with each Others and cooperate with their neighbors to reach common goals [2, 3]. IoT is a hot research topic, as
demonstrated by the increasing attention and the large worldwide investments devoted to it.
It is believed that the IoT will be composed of trillions of elements interacting in an extremely heterogeneous way in terms of requirements, behavior and capabilities; according to [4], by 2015 the RIFD devices alone will reach hundreds of billions. Unquestionably, the
IoT will pervade every aspect of our world and will have a huge impact in our everyday life: indeed, as stated by the US National Intelligence Council (NIC) [5], “by 2025 Internet nodes may reside in everyday things − food packages, furniture, paper documents, and more”.
Then, communications will not only involve persons but also things thus bringing about the IoT environment in which objects will have virtual counterparts on the Internet. Such virtual entities will produce and consume services, collaborate toward common goals and should be
integrated with all the other services.
One of the biggest challenges that the research community is facing right now is to be able to organize such an ocean of devices so that the discovery of objects and services is performed efficiently and in a scalable way. Recently, several attempts have been made to apply concepts
of social networking to the IoT. There are scientific evidences that a large number of individuals tied in a social network can provide far more accurate answers to complex problems than a single individual (or a small group of – even knowledgeable – individuals) [1]. The exploitation of such a principle, applied
to smart objects, has been widely investigated in Internet-related researches. Indeed, several
schemes have been proposed that use social networks to search Internet resources, to route
traffic, or to select effective policies for content distribution. The idea that the convergence of the “Internet of Things” and the “Social Networks”
worlds, which up to now were mostly kept separate by both scientific and industrial communities, is possible or even advisable is gaining momentum very quickly. This is due to the growing awareness that a “Social Internet of Things” (SIoT) paradigm carries with it many desirable
implications in a future world populated by objects permeating the everyday life of human beings.
Therefore, the goal of this thesis is to define a possible architecture for the SIoT, which includes the functionalities required to integrate things into a social network, and the needed strategies to help things to create their relationships in such a way that the resulting social network is navigable. Moreover, it focuses on the trustworthiness management, so that interaction
among objects that are friends can be done in a more reliable way and proposes a possible
implementation of a SIoT network. Since this thesis covers several aspects of the Social internet of Things, I will present the state of the art related to the specific research activities at the beginning of every Chapter. The
rest of the thesis is structured as follows.
In Chapter 1, I identify appropriate policies for the establishment and the management of social relationships between objects, describe a possible architecture for the IoT that includes the functionalities required to integrate things into a social network and analyze the characteristics
of the SIoT network structure by means of simulations.
Chapter 2 addresses the problem of the objects to manage a large number of friends, by analyzing possible strategies to drive the objects to select the appropriate links for the benefit of overall network navigability and to speed up the search of the services.
In Chapter 3, I focus on the problem of understanding how the information provided by members of the social IoT has to be processed so as to build a reliable system on the basis of the behavior of the objects and define two models for trustworthiness management starting from
the solutions proposed for P2P and social networks.
Chapter 4 presents an implementation of a SIoT platform and its major functionalities: how to register a new social object to the platform, how the system manages the creation of new relationships, and how the devices create groups of members with similar characteristics.
Finally, in Chapter 5, conclusions will be drawn regarding the effectiveness of the proposed
Introduction 3 algorithms, and some possible future works will be sketched
6
Abdelghani, Wafa. "A multi-dimensional trust-model for dynamic, scalable and resources-efficient trust-management in social internet of things". Thesis, Toulouse 3, 2020. http://www.theses.fr/2020TOU30231.
Abstract (sommario):
L'internet des Objets (IoT) est un paradigme qui a rendu les objets du quotidien, intelligents en leur offrant la possibilité de se connecter à Internet, de communiquer et d'interagir. L'intégration de la composante sociale dans l'IoT a donné naissance à l'Internet des Objets Social (SIoT), qui a permis de surmonter diverse problématiques telles que l'interopérabilité et la découverte de ressources. Dans ce type d'environnement, les participants rivalisent afin d'offrir une variété de services attrayants. Certains d'entre eux ont recours à des comportements malveillants afin de propager des services de mauvaise qualité. Ils lancent des attaques, dites de confiance, et brisent les fonctionnalités de base du système. Plusieurs travaux de la littérature ont abordé ce problème et ont proposé différents modèles de confiance. La majorité d'entre eux ont tenté de réappliquer des modèles de confiance conçus pour les réseaux sociaux ou les réseaux pair-à-pair. Malgré les similitudes entre ces types de réseaux, les réseaux SIoT présentent des particularités spécifiques. Dans les SIoT, nous avons différents types d'entités qui collaborent, à savoir des humains, des dispositifs et des services. Les dispositifs peuvent présenter des capacités de calcul et de stockage très limitées et leur nombre peut atteindre des millions. Le réseau qui en résulte est complexe et très dynamique et les répercussions des attaques de confiance peuvent être plus importantes. Nous proposons un nouveau modèle de confiance, multidimensionnel, dynamique et scalable, spécifiquement conçu pour les environnements SIoT. Nous proposons, en premier lieu, des facteurs permettant de décrire le comportement des trois types de nœuds impliqués dans les réseaux SIoT et de quantifier le degré de confiance selon les trois dimensions de confiance résultantes. Nous proposons, ensuite, une méthode d'agrégation basée sur l'apprentissage automatique et l'apprentissage profond qui permet d'une part d'agréger les facteurs proposés pour obtenir un score de confiance permettant de classer les nœuds, mais aussi de détecter les types d'attaques de confiance et de les contrer. Nous proposons, ensuite, une méthode de propagation hybride qui permet de diffuser les valeurs de confiance dans le réseau, tout en remédiant aux inconvénients des méthodes centralisée et distribuée. Cette méthode permet d'une part d'assurer la scalabilité et le dynamisme et d'autre part, de minimiser la consommation des ressources. Les expérimentations appliquées sur des de données synthétiques nous ont permis de valider le modèle proposéThe Internet of Things (IoT) is a paradigm that has made everyday objects intelligent by giving them the ability to connect to the Internet, communicate and interact. The integration of the social component in the IoT has given rise to the Social Internet of Things (SIoT), which has overcome various issues such as interoperability, navigability and resource/service discovery. In this type of environment, participants compete to offer a variety of attractive services. Some of them resort to malicious behavior to propagate poor quality services. They launch so-called Trust-Attacks (TA) and break the basic functionality of the system. Several works in the literature have addressed this problem and have proposed different trust-models. Most of them have attempted to adapt and reapply trust models designed for traditional social networks or peer-to-peer networks. Despite the similarities between these types of networks, SIoT ones have specific particularities. In SIoT, there are different types of entities that collaborate: humans, devices, and services. Devices can have very limited computing and storage capacities, and their number can be as high as a few million. The resulting network is complex and highly dynamic, and the impact of Trust-Attacks can be more compromising. In this work, we propose a Multidimensional, Dynamic, Resources-efficient and Scalable trust-model that is specifically designed for SIoT environments. We, first, propose features to describe the behavior of the three types of nodes involved in SIoT networks and to quantify the degree of trust according to the three resulting Trust-Dimensions. We propose, secondly, an aggregation method based on Supervised Machine-Learning and Deep Learning that allows, on the one hand, to aggregate the proposed features to obtain a trust score allowing to rank the nodes, but also to detect the different types of Trust-Attacks and to counter them. We then propose a hybrid propagation method that allows spreading trust values in the network, while overcoming the drawbacks of centralized and distributed methods. The proposed method ensures scalability and dynamism on the one hand, and minimizes resource consumption (computing and storage), on the other. Experiments applied to synthetic data have enabled us to validate the resilience and performance of the proposed model
7
Ebrahiem, Waleed, e Naveed Arif. "Internet of Things : How vendors can use IoT to achieve value creation". Thesis, Umeå universitet, Institutionen för informatik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-144582.
Abstract (sommario):
The IoT (Internet of Things) is developing rapidly, as a result of that, the number of connected devices in Sweden has doubled every year. According to big companies like Ericsson, the estimated number of connected devices worldwide will be 50 billion in 2020. IoT, by itself, may be a relatively simple concept of connected devices and machines, but its implications are profound. For companies in Sweden which offer a broad range of non-connected tools and products, it is becoming increasingly important to adapt their products to IoT; adherence to IoT will warrant new developments which offer value-added services such as monitoring and remote control, etc. The primary research method employed for this thesis is a case study at a vendor company who today offers their customers non-connected tools. To be able to demonstrate the concept of IoT enhanced tools we create a conceptual framework and a prototype, which we present to our interviewees and use as a starting point for qualitative interviews. In this thesis, we want to know how vendors could benefit themselves by the use of IoT in their businesses. We formulated some research questions, being, based on a vendor’s perspective: why do they (vendors) need connected products; how can such products be made marketable to the customer; and what are the predicted benefits of IoT-connected products for the customers? The case study brings to light some issues dealing with the business model, service providing, data display and data security which every company should take into consideration before implementing IoT.
8
Johansson, Fredrik, e Martin Göthe. "Internet of Things, bekvämt, men säkert? : En studie kring säkerhetsaspekter inom IoT". Thesis, Umeå universitet, Institutionen för informatik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-135063.
Abstract (sommario):
The new technological phenomenon Internet of Things (IoT) is steadily growing and has become more incorporated into our daily lives. The technology can be found in a variety of applications in today's society and has helped to simplify and streamline tasks and processes. Analysts estimate that the market for IoT could potentially be worth 11 billion dollars by 2025. Large technology corporations are spending a vast amount of money to promote their IoT products, but we are also seeing companies which normally are not associated with IT making an entrance to make their products connected. During the fall of 2016 media reported about a big security breach within the IoT that affected security cameras and forced them to commit denial of service attacks. This event led us to take a closer look at the IoT and the security around the products. The aim of this study is to investigate how developers and security experts working with IoT perceive the current state of security and the possible threats and risks we face when using the technology. For this study we have used a qualitative approach with semi-structured interviews. A total of eight interviews were conducted equally divided between developers and security experts. Our results show that a common denominator between the respondents' answers was that the lack of standardization and platforms for IoT-applications is a problem. However, a unified security solution is currently unattainable due to the vast number of platforms present in IoT today. Therefore, the use of a standard or platform does not guarantee security. Also, with the increasing popularity of IoT, products from developers without the proper knowledge is becoming a serious security concern for the IoT.
9
Åkerlund, Mathilda. "IoT on Twitter : A Mixed Methods Study". Thesis, Umeå universitet, Institutionen för informatik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149232.
10
Lundgren, Emil, e Markus Karmehag. "SAMBANDET MELLAN AUTONOMI OCH IoT-LÖSNINGAR I EN LINJEORGANISATION". Thesis, Umeå universitet, Institutionen för informatik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-173342.
Abstract (sommario):
The 4th phase of the industrial revolution is focused on the relationship between the humans and the machines and how they can collaborate. We are going to look deeper into the relationship between autonomy and IoT-based solutions in a line organization with the help of a case study. In this case study, we discovered that the industry and their workers will benefit from using IoT-solutions to maintain more competitiveness to the market. With the use of IoT- based solutions such as a digital Dashboard, they get more reliable information and better ways of communication within the organization. Our study emphasizes the necessity of improving the autonomy within an industrial workplace. The personnel in an organization will be able to use IoTin a way to get more creative, gain more responsibility, keep a higher level of quality and make the work procedures more efficient.
Libri sul tema "Internet des objets social (IoT social)":
1
Benghozi, Pierre-Jean. L'internet des objets: Quels enjeux pour l'Europe? = he internet of things : what challenges for Europe? [Paris]: Éd. de la Maison des sciences de l'homme, 2009.
2
Perednya, Dmitriy, Aleksandr Belyaev e Oleg Filimonov. Dynamic aspects of the managerial culture of the internal affairs bodies of Russia. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1872859.
Abstract (sommario):
In the monograph, the focus of research interest is primarily focused on the dynamic aspects of the managerial culture of the internal affairs bodies. The understanding of the object-subject area was carried out based on empirical data accumulated in recent years concerning changes in the managerial culture of internal affairs bodies.
At all times, management has been important for social structures. The fact is that the effective functioning of the organization is based on reasons directly or indirectly related to management issues, the form of existence of which is managerial culture. It is a complex phenomenon that is relevant both in research and in applied terms.
For a wide range of readers interested in the issues of managerial culture of internal affairs bodies. It can be useful for students, postgraduates and teachers of law schools.
3
Ternovaya, Lyudmila, Marina Vrazhnova e Elena Ryabova. Political Sociology of everyday life. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/2009681.
Abstract (sommario):
In the monograph, socially and politically significant aspects of everyday life are revealed through the analysis of those meanings of life that are either brought to the fore or hidden in the process of political competition. Elements of everyday life primarily affect representatives of the younger generation in order to involve them in the ranks of political parties and movements. It is demonstrated that many usually overlooked aspects of everyday reality act as propaganda products of political cuisine. At the same time, the most vivid and effective tools for the politicization of mass consciousness remain those that allow you to visualize and mythologize everyday life, breaking out of it with holidays, parades, performances.
It is addressed to specialists in the field of sociology and political science. It may be of interest to historians and cultural scientists. It will attract the attention of a wide range of readers who are eager to find out what lies behind the objects surrounding a person every day and at the same time telling about the specifics of the socio-political structure of different states and historical periods.
4
Dependable IoT for Human and Industry: Modeling, Architecting, Implementation. River Publishers, 2019.
5
Kor, Ah-Lian, Andrzej Rucinski e Vyacheslav Kharchenko. Dependable IoT for Human and Industry: Modeling, Architecting, Implementation. River Publishers, 2019.
6
Kor, Ah-Lian, Andrzej Rucinski e Vyacheslav Kharchenko. Dependable IoT for Human and Industry: Modeling, Architecting, Implementation. River Publishers, 2022.
7
Kor, Ah-Lian, Andrzej Rucinski e Vyacheslav Kharchenko. Dependable IoT for Human and Industry: Modeling, Architecting, Implementation. River Publishers, 2022.
8
Al-Turjman, Fadi. Intelligence in IoT-enabled Smart Cities. CRC Press, 2019.
9
Al-Turjman, Fadi. Intelligence in IoT-Enabled Smart Cities. Taylor & Francis Group, 2018.
10
Al-Turjman, Fadi. Intelligence in IoT-Enabled Smart Cities. Taylor & Francis Group, 2018.
Capitoli di libri sul tema "Internet des objets social (IoT social)":
1
Zamanifar, Azadeh. "Social IoT Healthcare". In Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications, 1–11. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24513-9_1.
2
Panda, G. K., B. K. Tripathy e M. K. Padhi. "Evolution of Social IoT World: Security Issues and Research Challenges". In Internet of Things (IoT), 77–98. Boca Raton : Taylor & Francis, CRC Press, 2018.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315269849-5.
3
Kosmides, Pavlos, Chara Remoundou, Ioannis Loumiotis, Evgenia Adamopoulou e Konstantinos Demestichas. "Introducing Community Awareness to Location-Based Social Networks". In Internet of Things. IoT Infrastructures, 125–30. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19743-2_19.
4
Podlaski, Krzysztof, Artur Hłobaż e Piotr Milczarski. "Secure Data Exchange Based on Social Networks Public Key Distribution". In Internet of Things. IoT Infrastructures, 52–63. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47063-4_5.
5
Girau, Roberto, Salvatore Martis e Luigi Atzori. "A Cloud-Based Platform of the Social Internet of Things". In Internet of Things. IoT Infrastructures, 77–88. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47063-4_7.
6
Kumar, Jitendra, e Mukesh Kumar. "Analysis of Cascading Behavior in Social Networks and IoT". In Industrial Internet of Things, 173–88. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003145004-10.
7
Briante, Orazio, Franco Cicirelli, Antonio Guerrieri, Antonio Iera, Alessandro Mercuri, Giuseppe Ruggeri, Giandomenico Spezzano e Andrea Vinci. "A Social and Pervasive IoT Platform for Developing Smart Environments". In Internet of Things, 1–23. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96550-5_1.
8
Ambrosio, João, Artur M. Arsenio e Orlando Remédios. "Learning About Animals and Their Social Behaviors for Smart Livestock Monitoring". In Internet of Things. IoT Infrastructures, 493–503. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47075-7_53.
9
Montalvo, Melissa, Andrea García, Julio Montesdeoca e René Ávila. "Biotelemetry System for Remote Monitoring of Cardiac Signals and Temperature Using Social Networks". In Internet of Things. IoT Infrastructures, 62–69. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47075-7_8.
10
Kalra, J. S., Rajesh Pant, Shipra Gupta, Vijay Kumar e Vijay Kumar. "Social Distance Monitoring in Smart Cities using IoT". In Green Internet of Things for Smart Cities, 135–45. New York: CRC Press, 2021. http://dx.doi.org/10.1201/9781003032397-9.
Atti di convegni sul tema "Internet des objets social (IoT social)":
1
Nitti, Michele, Virginia Pilloni e Daniele D. Giusto. "Searching the social Internet of Things by exploiting object similarity". In 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT). IEEE, 2016. http://dx.doi.org/10.1109/wf-iot.2016.7845506.
2
Camargo, Leandro, Ana Marilza Pernas e Adenauer Yamin. "Abordagem VISO: uma Contribuição à Socialização entre Objetos da Internet das Coisas". In Seminário Integrado de Software e Hardware. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/semish.2023.230258.
Abstract (sommario):
A crescente conectividade dos objetos na IoT permite que eles interajam, compartilhando informações e colaborando de diversas maneiras para realizar tarefas coletivas. No entanto, isso envolve vários desafios de pesquisa ainda abertos. Neste contexto, este artigo apresenta a concepção da abordagem Virtual Interactions between Social Objects (VISO). Esta abordagem trata de aspectos funcionais que uma arquitetura voltada à Social IoT deve prover, especialmente a recomendação autônoma de amizades. A VISO explora o conceito de virtualização de objetos para uma atuação autônoma no ambiente. Resultados preliminares indicam que o agrupamento de objetos em comunidades potencializa as recomendações de serviços ou amizades, de maneira socialmente consciente e personalizada.
3
Gialelis, J., G. Theodorou e C. Paparizos. "A Low-Cost Internet of Things (IoT) Node to Support Traceability". In GoodTechs '19: EAI International Conference on Smart Objects and Technologies for Social Good. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3342428.3342661.
4
Srinivasan, K., e V. R. Azhaguramyaa. "Internet of Things (IoT) based Object Recognition Technologies". In 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2019. http://dx.doi.org/10.1109/i-smac47947.2019.9032689.
5
Santos, Bruno Pereira, Luiz Filipe Menezes Vieira e Antonio Alfredo Ferreira Loureiro. "Routing and Mobility Management in the Internet of Things". In XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/sbrc_estendido.2020.12415.
Abstract (sommario):
This Ph.D. Thesis proposes new techniques for routing and mobility management for Internet of Things (IoT). In the future IoT, everyday mobile objects will probably be connected to the Internet. Currently, static IoT's devices have already been connected, but handle mobile devices suitably still being an open issue in IoT context. Then, solutions for routing mobility detection, handover, and mobility management are proposed through an algorithm that integrates Machine Learning (ML) and mobility metrics to figure out devices' mobility events, which we named Dribble. Also, an IPv6 hierarchical routing protocol named Mobile Matrix to boost efficient (memory and fault tolerance) end-to-end connectivity over mobility scenarios. The Thesis contributions are supported by numerous peer-reviewed publications in national and international conferences and journals included in ISI-JCR. Also, the applicability of this Thesis is evident by showing that our results overcome state-of-the-art in static and mobile scenarios, as well as, the impact of the proposed solutions is a step forward in at least two new research areas so-called Internet of Mobile Things (IoMT) and Social IoT, where devices move around and do social ties respectively. Moreover, during the Ph.D. degree, the author has contributed to different computer network fields rather than routing by publishing in areas like social networks, smart cities, intelligent transportation systems, software-defined networks, and parallel computing.
6
Sales de Araujo, Iury Rogerio, Mikaelly Felicio Pedrosa, Eudisley Gomes dos Anjos e Fernando Menezes Matos. "Busca de Serviços Baseada em Perfis Sociais dos Objetos em uma Rede SIoT Urbana". In III Workshop de Computação Urbana. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/courb.2019.7474.
Abstract (sommario):
The service interaction provided by objects in IoT networks enables the creation of advanced services to answer application requests. However, the growing number of objects into the IoT network, besides its ad hoc structure, are disturbing some functionalities, such as service discovery. Therefore, when searching for services, the navigability is impaired because the system needs to sweep a great quantity of objects without a previous organization. Social Internet of Things (SIoT) emerged as an alternative to solve several problems faced by IoT through the concept of social networks. In SIoT each object has its own social profile, which contains its characteristics and information, and are organize by relationships. Thus, this research propose a solution for service discovery in a SIoT network. This solution uses the relationships between objects to improve the discovery scalability and considers their social profiles to meet more satisfactorily the requisitions. Simulated results demonstrates the solution performance to answer service requisitions in an urban SIoT network.
7
Yan, Zhiwei, Ning Kong, Ye Tian e Yong-Jin Park. "A Universal Object Name Resolution Scheme for IoT". In 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things(iThings) and IEEE Cyber, Physical and Social Computing(CPSCom). IEEE, 2013. http://dx.doi.org/10.1109/greencom-ithings-cpscom.2013.193.
8
Nagy, Robertbela, e Florin Popentiu vladicescu. "EXPLORING THE POTENTIAL OF INTERNET OF THINGS SYSTEMS IN HEATH CARE CONTEXT". In eLSE 2018. Carol I National Defence University Publishing House, 2018. http://dx.doi.org/10.12753/2066-026x-18-210.
Abstract (sommario):
This paper is a survey about the uprising of the Internet of Things (IoT) technologies, their evolution, their variety of the application domains of the IoT systems, which includes, but not limits to healthcare domain, smart cities, smart objects, integration of smart sensors, smart home appliances control, etc. and all the technology revolution that this evolution implies and forces to happen. The IoT system's revolution and fast-phased evolution will create and/or cause positive effects in the whole society and technology, like in the case when the IoT domain is redesigning the applied modern healthcare systems, promising and later offering technological, economic, and social benefits. This paper also reviews the state-of-the-art network architectures/platforms employed in the IoT systems, presents different applications, and also the future trends. IoT security and privacy features, including security requirements will be also discussed and presented. Ambient intelligence, and wearables can be leveraged in the IoT healthcare context, sensors are also becoming ubiquitous and very important in everyday life and also generates data at an unprecedented, unseen rate and scale. This article focuses on the current/existing trends in the domain of IoT and on the current stage of development of research for hardware and software solutions, possible future communication capabilities between human beings and machines, and any new technologies that will employ IoT. Future researches on IoT-based systems are based on a set of open issues and challenges; also, there is the vital step from current "Big Data" to "Big Information" that can be improved and faster created with the help and implication of the current and future IoT systems/setups. With the proliferation of IoT, humans will be able to interact with machines/computers and also control a variety of networked electronic devices, including sensors and actuators. Also, the emergence and evolution of wearable Brain-Machine Interfaces (BMIs), employing directly Electroencephalographyc (EEG) signals, can be a key catalyser of this interaction and evolution of IoT. As smart home appliances, smart sensors, smart glasses and wearable EEG/EMG headsets and any other smart objects are appearing in our lives every day, all of them connected or being a member of the IoT systems, it is important to be able to foresee what is lying ahead of us, as a society in view of the fact that their number grows every day. As the gathered data is growing each day, the computation power from the available IoT devices and infrastructure are becoming more important and more utilized.
9
Özsevinç, Nimet. "Internet of Technological Transformation and Objects: I Robot Movie Analysis and Covid-19 Artificial Intelligence Robots". In COMMUNICATION AND TECHNOLOGY CONGRESS. ISTANBUL AYDIN UNIVERSITY, 2021. http://dx.doi.org/10.17932/ctcspc.21/ctc21.012.
Abstract (sommario):
With technological transformations, we change our roles with the machines in the present conditions of our sociological, psychological, economic, cultural structures. The use of technology widespread with the effect of capitalism increases our commitment to the technological tools we receive to the center of our lives. The social media revolution that has become a vital part with the new media causes us to integrate with technological means and shows that they have the power to change our communication forms. In particular, the binding of objects with internet providers, manipulates us, use and to our satisfaction. Our developing and continuously changing technology has the effects of our culture, personalities, consumer habits and the perceptions of us by changing our needs. Within the scope of this study, it is emphasized on the concept of the transformation of the technology, and the effects of the objects are made on the fact of the internet (IOT). At the same time, the analysis of this concept is analyzed the epidemic film related to the use of the health sector. The role of the artificial intelligence robots used in the fight against Covid-19, which is described as a global health problem, the role used in the challenge of this technology used to examine the benefits and damages of this technology used.
10
Kowalski, Jaroslaw. "The Internet of Things as an extension and augmentation of the user". In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002167.
Abstract (sommario):
In recent decades, the world of objects and tools has altered markedly. New devices, which communicate with other devices via digital protocols, have emerged. Digital creations, including programs, applications, websites, and bots have also become widespread. These can be considered tools, but are simultaneously immaterial. As a raft of Internet of Things (IoT) products enter the market, a new stage of development can be seen on the horizon: IoT will be superseded by the Internet of Everything, which enables communication between material objects and data, programs, processes, and people. In this new world, technology will become active in new ways and gain new types of agency. Newly created technologies enter into a specific type of relationship with their users and exercise significant impacts upon them.This article presents the results of a qualitative study (28 individual in-depth interviews) conducted on users of different types of digital device, including wearable technologies, smart-home devices, digital applications, and voice assistants. It shows by example the various psychological and social consequences that users of these technologies experience and how those users view the technologies. IoT products can be treated as tools that empower their users. The notion of technology as an extension of the human body and mind was introduced by Marshall McLuhan and developed further by Andy Clark. They highlighted that technological solutions have assisted humanity by “moving” cognitive processes and agency beyond humans themselves. Clark offers examples of such derivation: paper, arithmetic, and writing are external extensions of the human mind. The emergence of the IoT trend introduces a new dynamic to this process: digital devices that have the ability to complement and extend human capabilities. This article proposes that these enhancements be categorised into two distinct groups: extensions (the strengthening of existing properties) and augmentations (the equipping of properties that humans did not previously possess). Through technology, users have access to the equivalent of new senses, such as instant remote knowledge of who is inside their homes, which doors are locked, and the exact location of the bus they intend to catch. These might also incorporate new skills—such as the ability to solve mathematical equations with a single click, or to cook a previously unknown dish—or character traits, such as perseverance or self-motivation. This article also intends to demonstrate that such dependencies can be two-sided. As well as the natural senses, users feel the need to employ technologically generated ones—for example, some users feel the need to “check” the condition of their empty homes, the status of their household appliances, or how much electricity their solar panels have produced. The wide selection of extensions and augmentations that cause users to function in a relational space of human and nonhuman actors have enabled new technologies that make claims on the human psyche. The qualitative method of this article allows it to describe the relationship between humans and 'technological artefacts', and to include the experiences of users described using their own conceptual grids.
Rapporti di organizzazioni sul tema "Internet des objets social (IoT social)":
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Soloviev, V. N., e Y. V. Romanenko. Quantum econophysics of bitcoin crises. ESC "IASA" NTUU "Igor Sikorsky Kyiv Polytechnic Institute", maggio 2018. http://dx.doi.org/10.31812/0564/2462.
Abstract (sommario):
The attempts to create an adequate model of socio-economic critical events, which, as it has been historically proven, are almost permanent, were, are and will always be made. Actually, it is a supertask, impossible to solve. However, the potentially useful solutions, local in time or other socio-economic logistic coordinates, are possible. In fact, they have to be the object of interest for a real and effective economic science. Econophysics is a young interdisciplinary scientific field, which developed and acquired its name at the end of the last century. Quantum econophysics, a direction distinguished by the use of mathematical apparatus of quantum mechanics as well as its fundamental conceptual ideas and relativistic aspects, developed within its boundaries just a couple of years later, in the first decade of the 21-st century.
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Hillestad, Torgeir Martin. The Metapsychology of Evil: Main Theoretical Perspectives Causes, Consequences and Critique. University of Stavanger, 2014. http://dx.doi.org/10.31265/usps.224.
Abstract (sommario):
The purpose of this text or dissertation is to throw some basic light on a fundamental problem concerning manhood, namely the question of evil, its main sources, dynamics and importance for human attitudes and behaviour. The perspective behind the analysis itself is that of psychology. Somebody, or many, may feel at bit nervous by the word “evil” itself. It may very well be seen as too connected to religion, myth and even superstition. Yet those who are motivated to lose oneself in the subject retain a deep interest in human destructiveness, malevolence and hate, significant themes pointing at threatening prospects for mankind. The text is organized or divided into four main ordinary chapters, the three first of them organized or divided into continuous and numbered sections. A crucial point or question is of cause how to define evil itself. It can of cause be done both intentional, instrumental and by consequence. Other theorists however have stated that the concept of evil exclusively rests on a myth originated in the Judean-Christian conception of Satan and ultimate evil. This last argument presupposes evil itself as non-existent in the real rational world. It seems however a fact that most people attach certain basic meaning to the concept, mainly that it represents ultimately bad and terrible actions and behaviour directed toward common people for the purpose of bringing upon them ultimate pain and suffer. However, there is no room for essentialism here, meaning that we simply can look “inside” some original matter to get to know what it “really” is. Rather, a phenomenon gets its identity from the constituted meaning operating within a certain human communities and contexts loaded with intentionality and inter-subjective meaning. As mentioned above, the concept of evil can be interpreted both instrumental and intentional, the first being the broadest of them. Here evil stands for behaviour and human deeds having terrifying or fatal consequences for subjects and people or in general, regardless of the intentions behind. The intentional interpretation however, links the concept to certain predispositions, characteristics and even strong motives in subjects, groups and sometimes political systems and nations. I will keep in mind and clear the way for both these perspectives for the discussion in prospect. This essay represents a psychological perspective on evil, but makes it clear that a more or less complete account of such a psychological view also should include a thorough understanding or integration of some basic social and even biological assumptions. However, I consider a social psychological position of significant importance, especially because in my opinion it represents some sort of coordination of knowledge and theoretical perspectives inherent in the subject or problem itself, the main task here being to integrate perspectives of a psychological as well as social and biological kind. Since humans are essential social creatures, the way itself to present knowledge concerning the human condition, must be social of some sort and kind, however not referring to some kind of reductionism where social models of explanation possess or holds monopoly. Social and social psychological perspectives itself represents parts of the whole matter regarding understanding and explanation of human evil. The fact that humans present, or has to represent themselves as humans among other humans, means that basically a social language is required both to explain and describe human manners and ways of being. This then truly represents its own way or, more correctly, level or standard of explanation, which makes social psychology some sort of significant, though not sufficient. More substantial, the vision itself of integrating different ontological and theoretical levels and objects of science for the purpose of manifesting or make real a full-fledged psychological perspective on evil, should be considered or characterized a meta-psychological perspective. The text is partially constructed as a review of existing theories and theorists concerning the matter of evil and logically associated themes such as violence, mass murder, genocide, antisocial behaviour in general, aggression, hate and cruelty. However, the demands of making a theoretical distinction between these themes, although connected, is stressed. Above all, an integral perspective combining different scientific disciplines is aimed at.
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Oltarzhevskyi, Dmytro. HISTORICAL FEATURES OF CORPORATE MEDIA FORMATION IN UKRAINE AND IN THE WORLD. Ivan Franko National University of Lviv, febbraio 2021. http://dx.doi.org/10.30970/vjo.2021.49.11067.
Abstract (sommario):
The article examines the world and Ukrainian history of corporate periodicals. The main purpose of this study is to reproduce an objective global picture of the emergence and formation of corporate periodicals, taking into account the business and socio-economic context. Accordingly, its tasks are to compare the conditions and features of corporate media genesis in different countries, to determine the main factors of their development, as well as to clarify the transformations of the terminological apparatus. The research is based on mostly foreign secondary scientific works published from 1915 to the present time. The literature was studied using methods such as overview, historical, functional and thematic analysis, description, and generalization. A systematic approach was used to determine the role and place of each element in the system, as well as to comprehensively consider the object in the general historical context and within the current scientific discourse. The method of systematization made it possible to establish internal and external connections, patterns and contradictions in the development of the object of study. The main historical milestones on this path are identified, examples of the first successful corporate publications and their contribution to business development, public relations, and corporate communications are considered. It was found that corporate media emerged in the mid-nineteenth century spontaneously, on the wave of practical business needs in response to industrialization, company increase, staff growth, and consumer market development. Their appearance preceded the formation of the public relations industry and changed the structure of the information space. The scientific significance of this research is that the historical look at the evolution of corporate media provides an understanding of their place, influence, capabilities, and growing communicative role in the digital age.