Letteratura scientifica selezionata sul tema "Social Internet of Things (Social IoT)"
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Articoli di riviste sul tema "Social Internet of Things (Social IoT)":
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.
Sowa, Grzegorz, e Alina Marchlewska. "The Internet of Things: Technological and Social Aspects". Journal of Applied Computer Science Methods 8, n. 1 (1 giugno 2016): 17–27. http://dx.doi.org/10.1515/jacsm-2016-0002.
Bok, Kyoungsoo, Yeondong Kim, Dojin Choi e Jaesoo Yoo. "User Recommendation for Data Sharing in Social Internet of Things". Sensors 21, n. 2 (11 gennaio 2021): 462. http://dx.doi.org/10.3390/s21020462.
Bok, Kyoungsoo, Yeondong Kim, Dojin Choi e Jaesoo Yoo. "User Recommendation for Data Sharing in Social Internet of Things". Sensors 21, n. 2 (11 gennaio 2021): 462. http://dx.doi.org/10.3390/s21020462.
Hemmati, Mahdi. "Analyzing the Effect of Social Internet of Things on Making the Internet Marketing Smart". Modern Applied Science 10, n. 9 (20 luglio 2016): 213. http://dx.doi.org/10.5539/mas.v10n9p213.
H. Dutton, William. "Putting things to work: social and policy challenges for the Internet of things". info 16, n. 3 (6 maggio 2014): 1–21. http://dx.doi.org/10.1108/info-09-2013-0047.
Hamed M. Almalki. "The impact of social media, big data and IOT on the supply chain management performance". Global Journal of Engineering and Technology Advances 12, n. 3 (30 settembre 2022): 067–76. http://dx.doi.org/10.30574/gjeta.2022.12.3.0163.
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.
Komarov, Mikhail, Nikita Konovalov e Nikolay Kazantsev. "How Internet of Things Influences Human Behavior Building Social Web of Services via Agent-Based Approach". Foundations of Computing and Decision Sciences 41, n. 3 (1 settembre 2016): 197–210. http://dx.doi.org/10.1515/fcds-2016-0012.
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.
Tesi sul tema "Social Internet of Things (Social IoT)":
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.
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.
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.
Laya, Andrés. "The Internet of Things in Health, Social Care, and Wellbeing". Doctoral thesis, KTH, Radio Systems Laboratory (RS Lab), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-212548.
QC 20180828
IoT Ecosystems (VINNOVA)
COIN-SWEAT
MTC2020
M2MRISE
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.
The 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.
The 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
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.
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.
Davids, Natheer. "The Privacy Paradox: Factors influencing information disclosure in the use of the Internet of Things (IoT) in South Africa". Master's thesis, Faculty of Commerce, 2021. http://hdl.handle.net/11427/32636.
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.
The 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
Libri sul tema "Social Internet of Things (Social IoT)":
Soro, Alessandro, Margot Brereton e Paul Roe, a cura di. Social Internet of Things. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-94659-7.
H L, Gururaj, Pramod H B e Gowtham M. Advances in SIoT (Social Internet of Things). Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003282990.
Kumar Pani, Santosh, e Manjusha Pandey, a cura di. Internet of Things: Enabling Technologies, Security and Social Implications. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8621-7.
Hassanien, Aboul Ella, Roheet Bhatnagar, Nour Eldeen M. Khalifa e Mohamed Hamed N. Taha, a cura di. Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-24513-9.
Brogan, Chris. The impact equation: Are you making things happen or just making noise? New York: Portfolio/Penguin, 2012.
Dependable IoT for Human and Industry: Modeling, Architecting, Implementation. River Publishers, 2019.
Kor, Ah-Lian, Andrzej Rucinski e Vyacheslav Kharchenko. Dependable IoT for Human and Industry: Modeling, Architecting, Implementation. River Publishers, 2019.
Kor, Ah-Lian, Andrzej Rucinski e Vyacheslav Kharchenko. Dependable IoT for Human and Industry: Modeling, Architecting, Implementation. River Publishers, 2022.
Kor, Ah-Lian, Andrzej Rucinski e Vyacheslav Kharchenko. Dependable IoT for Human and Industry: Modeling, Architecting, Implementation. River Publishers, 2022.
Ravulavaru, Arvind. Enterprise Internet of Things Handbook: Build end-to-end IoT solutions using popular IoT platforms. Packt Publishing, 2018.
Capitoli di libri sul tema "Social Internet of Things (Social IoT)":
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.
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.
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.
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.
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.
Liu, Can, Mara Balestrini e Giovanna Nunes Vilaza. "From Social to Civic: Public Engagement with IoT in Places and Communities". In Internet of Things, 185–210. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94659-7_10.
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.
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.
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.
Cotronei, Mariantonia, Sofia Giuffrè, Attilio Marcianò, Domenico Rosaci e Giuseppe M. L. Sarnè. "Detecting Collusive Agents by Trust Measures in Social IoT Environments: A Novel Reputation Model". In Internet of Things, 43–61. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21940-5_3.
Atti di convegni sul tema "Social Internet of Things (Social IoT)":
Bernal Bernabe, Jorge, Ignacio Elicegui, Etienne Gandrille, Nenad Gligoric, Alex Gluhak, Christine Hennebert, Jose L. Hernandez-Ramos et al. "SocIoTal — The development and architecture of a social IoT framework". In 2017 Global Internet of Things Summit (GIoTS). IEEE, 2017. http://dx.doi.org/10.1109/giots.2017.8016286.
Okada, Miyo, Atsuro Ueki, Niclas Jonasson, Masato Yamanouchi, Cristian Norlin, Hideki Sunahara, Joakim Formo, Mikael Anneroth e Masa Inakage. "Autonomous Cooperation of Social Things". In IoT'16: The 6th International Conference on the Internet of Things. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2991561.2991574.
Nitti, Michele, Luigi Atzori e Irena Pletikosa Cvijikj. "Network navigability in the social Internet of Things". In 2014 IEEE World Forum on Internet of Things (WF-IoT). IEEE, 2014. http://dx.doi.org/10.1109/wf-iot.2014.6803200.
Izadi, Saeed, Mahnaz Izadi, Golshid Ranjbaran e Elham Ghasemi. "Enhancing Social Network Security: A Dynamic Approach for Detecting and Mitigating Social Spam". In 2023 7th International Conference on Internet of Things and Applications (IoT). IEEE, 2023. http://dx.doi.org/10.1109/iot60973.2023.10365355.
Saleem, Yasir, Noel Crespi, Mubashir Husain Rehmani, Rebecca Copeland, Dina Hussein e Emmanuel Bertin. "Exploitation of social IoT for recommendation services". In 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT). IEEE, 2016. http://dx.doi.org/10.1109/wf-iot.2016.7845500.
Maheswaran, Muthucumaru, e Sridipta Misra. "Towards a social governance framework for Internet of Things". In 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT). IEEE, 2015. http://dx.doi.org/10.1109/wf-iot.2015.7389156.
Butt, Talal Ashraf. "Edge Intelligence based Social Internet of Things for Smart Cities". In ICIT 2022: IoT and Smart City. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3582197.3582229.
Beltran, Victoria, Antonio M. Ortiz, Dina Hussein e Noel Crespi. "A semantic service creation platform for Social IoT". In 2014 IEEE World Forum on Internet of Things (WF-IoT). IEEE, 2014. http://dx.doi.org/10.1109/wf-iot.2014.6803173.
Van Anh Duong, Dat, e Seokhoon Yoon. "A social relationship-aware mobility model". In 2018 IEEE 4th World Forum on Internet of Things (WF-IoT). IEEE, 2018. http://dx.doi.org/10.1109/wf-iot.2018.8355150.
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.
Rapporti di organizzazioni sul tema "Social Internet of Things (Social IoT)":
Solovyanenko, Nina I. Legal features of innovative (digital) entrepreneurship in the agricultural and food sector. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70008.
Roberts, Tony, Judy Gitahi, Patrick Allam, Lawrence Oboh, Oyewole Oladapo, Gifty Appiah-Adjei, Amira Galal et al. Mapping the Supply of Surveillance Technologies to Africa: Case Studies from Nigeria, Ghana, Morocco, Malawi, and Zambia. Institute of Development Studies, settembre 2023. http://dx.doi.org/10.19088/ids.2023.027.
Collyer, Michael, Tahir Zaman e Dolf te Lintelo. Displacement and Social Assistance. Institute of Development Studies (IDS), febbraio 2022. http://dx.doi.org/10.19088/basic.2022.029.
Droogan, Julian, Lise Waldek, Brian Ballsun-Stanton e Jade Hutchinson. Mapping a Social Media Ecosystem: Outlinking on Gab & Twitter Amongst the Australian Far-right Milieu. RESOLVE Network, settembre 2022. http://dx.doi.org/10.37805/remve2022.6.
Yatsymirska, Mariya. SOCIAL EXPRESSION IN MULTIMEDIA TEXTS. Ivan Franko National University of Lviv, febbraio 2021. http://dx.doi.org/10.30970/vjo.2021.49.11072.
Gandelman, Néstor, e Ana Balsa. The Impact of ICT on Health Promotion: A Randomized Experiment with Diabetic Patients. Inter-American Development Bank, dicembre 2010. http://dx.doi.org/10.18235/0011195.
Hinnant, Laurie, Sara Hairgrove, Heather Kane, Jason Williams e Jessica Duncan Cance. Social Determinants of Health: A Review of Publicly Available Indices. RTI Press, novembre 2022. http://dx.doi.org/10.3768/rtipress.2022.op.0081.2212.
Slater, Rachel. Researching Capacities to Sustain Social Protection in Protracted Crises. Part 2: Early Findings. Institute of Development Studies, marzo 2024. http://dx.doi.org/10.19088/basic.2024.002.
Rudyk, Myroslava. Нові ролі і функції соціальних медіа у волонтерській діяльності в період російсько-української війни з 24 лютого 2022 року. Ivan Franko National University of Lviv, marzo 2023. http://dx.doi.org/10.30970/vjo.2023.52-53.11739.
Collyer, Michael, Dolf te Lintelo, Thabani Mutambasere e Tahir Zaman. Moving Targets: Social Protection as a Link Between Humanitarianism, Development and Displacement. Institute of Development Studies, giugno 2022. http://dx.doi.org/10.19088/basic.2022.017.