Littérature scientifique sur le sujet « Internet des objets social (IoT social) »
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Articles de revues sur le sujet "Internet des objets social (IoT social)"
Milivojević, Sanja, et Elizabeth Radulski. « The 'Future Internet' and crime : Towards a criminology of the Internet of Things ». Crimen 11, no 3 (2020) : 255–71. http://dx.doi.org/10.5937/crimen2003255m.
Texte intégralNaderlou, Lida, Nigar Ismayilova et Azar Feyziyev. « A REVIEW SIOT (SOCIAL INTERNET OF THINGS) : TECHNIQUES, APPLICATIONS, CHALLENGES AND TRENDS ». Azerbaijan Journal of High Performance Computing 5, no 2 (31 décembre 2022) : 236–53. http://dx.doi.org/10.32010/26166127.2022.5.2.236.253.
Texte intégralShin, Taehwan, et 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.
Texte intégralGao, Yunpeng, et 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 août 2019) : 1–16. http://dx.doi.org/10.1155/2019/5498375.
Texte intégralJung, Jooik, Sejin Chun, Xiongnan Jin et Kyong-Ho Lee. « Enabling smart objects discovery via constructing hypergraphs of heterogeneous IoT interactions ». Journal of Information Science 44, no 1 (1 octobre 2016) : 110–24. http://dx.doi.org/10.1177/0165551516674164.
Texte intégralAldelaimi, Monira N., M. Anwar Hossain et Mohammed F. Alhamid. « Building Dynamic Communities of Interest for Internet of Things in Smart Cities ». Sensors 20, no 10 (25 mai 2020) : 2986. http://dx.doi.org/10.3390/s20102986.
Texte intégralMuhammad, Shad, Muneer Umar, Shafiullah Khan, A. Alrajeh et A. Mohammed. « Honesty-Based Social Technique to Enhance Cooperation in Social Internet of Things ». Applied Sciences 13, no 5 (21 février 2023) : 2778. http://dx.doi.org/10.3390/app13052778.
Texte intégralChen, Yuanyi, Yanyun Tao, Zengwei Zheng et Dan Chen. « Graph-based service recommendation in Social Internet of Things ». International Journal of Distributed Sensor Networks 17, no 4 (avril 2021) : 155014772110090. http://dx.doi.org/10.1177/15501477211009047.
Texte intégralKilani, Rim, Ahmed Zouinkhi, Eddy Bajic et Mohamed Naceur Abdelkrim. « A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT Objects ». Electronics 11, no 8 (18 avril 2022) : 1281. http://dx.doi.org/10.3390/electronics11081281.
Texte intégralChukhno, Olga, Nadezhda Chukhno, Giuseppe Araniti, Claudia Campolo, Antonio Iera et Antonella Molinaro. « Optimal Placement of Social Digital Twins in Edge IoT Networks ». Sensors 20, no 21 (30 octobre 2020) : 6181. http://dx.doi.org/10.3390/s20216181.
Texte intégralThèses sur le sujet "Internet des objets social (IoT social)"
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.
Texte intégralThe 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
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.
Texte intégralThe 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
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.
Texte intégralThe 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
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.
Texte intégralThe 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
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.
Texte intégralAbdelghani, 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.
Texte intégralThe 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
Ebrahiem, Waleed, et 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.
Texte intégralJohansson, Fredrik, et 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.
Texte intégralÅkerlund, 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.
Texte intégralLundgren, Emil, et 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.
Texte intégralLivres sur le sujet "Internet des objets social (IoT social)"
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.
Trouver le texte intégralPerednya, Dmitriy, Aleksandr Belyaev et 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.
Texte intégralTernovaya, Lyudmila, Marina Vrazhnova et Elena Ryabova. Political Sociology of everyday life. ru : INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/2009681.
Texte intégralDependable IoT for Human and Industry : Modeling, Architecting, Implementation. River Publishers, 2019.
Trouver le texte intégralKor, Ah-Lian, Andrzej Rucinski et Vyacheslav Kharchenko. Dependable IoT for Human and Industry : Modeling, Architecting, Implementation. River Publishers, 2019.
Trouver le texte intégralKor, Ah-Lian, Andrzej Rucinski et Vyacheslav Kharchenko. Dependable IoT for Human and Industry : Modeling, Architecting, Implementation. River Publishers, 2022.
Trouver le texte intégralKor, Ah-Lian, Andrzej Rucinski et Vyacheslav Kharchenko. Dependable IoT for Human and Industry : Modeling, Architecting, Implementation. River Publishers, 2022.
Trouver le texte intégralAl-Turjman, Fadi. Intelligence in IoT-enabled Smart Cities. CRC Press, 2019.
Trouver le texte intégralAl-Turjman, Fadi. Intelligence in IoT-Enabled Smart Cities. Taylor & Francis Group, 2018.
Trouver le texte intégralAl-Turjman, Fadi. Intelligence in IoT-Enabled Smart Cities. Taylor & Francis Group, 2018.
Trouver le texte intégralChapitres de livres sur le sujet "Internet des objets social (IoT social)"
Zamanifar, Azadeh. « Social IoT Healthcare ». Dans 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.
Texte intégralPanda, G. K., B. K. Tripathy et M. K. Padhi. « Evolution of Social IoT World : Security Issues and Research Challenges ». Dans Internet of Things (IoT), 77–98. Boca Raton : Taylor & Francis, CRC Press, 2018. : CRC Press, 2017. http://dx.doi.org/10.1201/9781315269849-5.
Texte intégralKosmides, Pavlos, Chara Remoundou, Ioannis Loumiotis, Evgenia Adamopoulou et Konstantinos Demestichas. « Introducing Community Awareness to Location-Based Social Networks ». Dans Internet of Things. IoT Infrastructures, 125–30. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19743-2_19.
Texte intégralPodlaski, Krzysztof, Artur Hłobaż et Piotr Milczarski. « Secure Data Exchange Based on Social Networks Public Key Distribution ». Dans Internet of Things. IoT Infrastructures, 52–63. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47063-4_5.
Texte intégralGirau, Roberto, Salvatore Martis et Luigi Atzori. « A Cloud-Based Platform of the Social Internet of Things ». Dans Internet of Things. IoT Infrastructures, 77–88. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47063-4_7.
Texte intégralKumar, Jitendra, et Mukesh Kumar. « Analysis of Cascading Behavior in Social Networks and IoT ». Dans Industrial Internet of Things, 173–88. Boca Raton : CRC Press, 2022. http://dx.doi.org/10.1201/9781003145004-10.
Texte intégralBriante, Orazio, Franco Cicirelli, Antonio Guerrieri, Antonio Iera, Alessandro Mercuri, Giuseppe Ruggeri, Giandomenico Spezzano et Andrea Vinci. « A Social and Pervasive IoT Platform for Developing Smart Environments ». Dans Internet of Things, 1–23. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96550-5_1.
Texte intégralAmbrosio, João, Artur M. Arsenio et Orlando Remédios. « Learning About Animals and Their Social Behaviors for Smart Livestock Monitoring ». Dans Internet of Things. IoT Infrastructures, 493–503. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47075-7_53.
Texte intégralMontalvo, Melissa, Andrea García, Julio Montesdeoca et René Ávila. « Biotelemetry System for Remote Monitoring of Cardiac Signals and Temperature Using Social Networks ». Dans Internet of Things. IoT Infrastructures, 62–69. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47075-7_8.
Texte intégralKalra, J. S., Rajesh Pant, Shipra Gupta, Vijay Kumar et Vijay Kumar. « Social Distance Monitoring in Smart Cities using IoT ». Dans Green Internet of Things for Smart Cities, 135–45. New York : CRC Press, 2021. http://dx.doi.org/10.1201/9781003032397-9.
Texte intégralActes de conférences sur le sujet "Internet des objets social (IoT social)"
Nitti, Michele, Virginia Pilloni et Daniele D. Giusto. « Searching the social Internet of Things by exploiting object similarity ». Dans 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT). IEEE, 2016. http://dx.doi.org/10.1109/wf-iot.2016.7845506.
Texte intégralCamargo, Leandro, Ana Marilza Pernas et Adenauer Yamin. « Abordagem VISO : uma Contribuição à Socialização entre Objetos da Internet das Coisas ». Dans Seminário Integrado de Software e Hardware. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/semish.2023.230258.
Texte intégralGialelis, J., G. Theodorou et C. Paparizos. « A Low-Cost Internet of Things (IoT) Node to Support Traceability ». Dans 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.
Texte intégralSrinivasan, K., et V. R. Azhaguramyaa. « Internet of Things (IoT) based Object Recognition Technologies ». Dans 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.
Texte intégralSantos, Bruno Pereira, Luiz Filipe Menezes Vieira et Antonio Alfredo Ferreira Loureiro. « Routing and Mobility Management in the Internet of Things ». Dans 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.
Texte intégralSales de Araujo, Iury Rogerio, Mikaelly Felicio Pedrosa, Eudisley Gomes dos Anjos et Fernando Menezes Matos. « Busca de Serviços Baseada em Perfis Sociais dos Objetos em uma Rede SIoT Urbana ». Dans III Workshop de Computação Urbana. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/courb.2019.7474.
Texte intégralYan, Zhiwei, Ning Kong, Ye Tian et Yong-Jin Park. « A Universal Object Name Resolution Scheme for IoT ». Dans 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.
Texte intégralNagy, Robertbela, et Florin Popentiu vladicescu. « EXPLORING THE POTENTIAL OF INTERNET OF THINGS SYSTEMS IN HEATH CARE CONTEXT ». Dans eLSE 2018. Carol I National Defence University Publishing House, 2018. http://dx.doi.org/10.12753/2066-026x-18-210.
Texte intégralÖzsevinç, Nimet. « Internet of Technological Transformation and Objects : I Robot Movie Analysis and Covid-19 Artificial Intelligence Robots ». Dans COMMUNICATION AND TECHNOLOGY CONGRESS. ISTANBUL AYDIN UNIVERSITY, 2021. http://dx.doi.org/10.17932/ctcspc.21/ctc21.012.
Texte intégralKowalski, Jaroslaw. « The Internet of Things as an extension and augmentation of the user ». Dans 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002167.
Texte intégralRapports d'organisations sur le sujet "Internet des objets social (IoT social)"
Soloviev, V. N., et Y. V. Romanenko. Quantum econophysics of bitcoin crises. ESC "IASA" NTUU "Igor Sikorsky Kyiv Polytechnic Institute", mai 2018. http://dx.doi.org/10.31812/0564/2462.
Texte intégralHillestad, 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.
Texte intégralOltarzhevskyi, Dmytro. HISTORICAL FEATURES OF CORPORATE MEDIA FORMATION IN UKRAINE AND IN THE WORLD. Ivan Franko National University of Lviv, février 2021. http://dx.doi.org/10.30970/vjo.2021.49.11067.
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