Social Internet of Things: vision, challenges, and trends

Abstract

IoT describes a new world of billions of objects that intelligently communicate and interact with each other. One of the important areas in this field is a new paradigm-Social Internet of Things (SIoT), a new concept of combining social networks with IoT. SIoT is an imitation of social networks between humans and objects. Objects like humans are considered intelligent and social. They create their social network to achieve their common goals, such as improving functionality, performance, and efficiency and satisfying their required services. Our article’s primary purpose is to present a comprehensive review article from the SIoT system to analyze and evaluate the recent works done in this area. Therefore, our study concentrated on the main components of the SIoT (Architecture, Relation Management, Trust Management, web services, and information), features, parameters, and challenges. To gather enough information for better analysis, we have reviewed the articles published between 2011 and December 2019. The strengths and weaknesses of each article are examined, and effective evaluation parameters, approaches, and the most used simulation tools in this field are discussed. For this purpose, we provide a scientific taxonomy for the final SIoT structure based on the academic contributions we have studied. Ultimately we observed that the evaluation parameters are different in each element of the SIoT ecosystem, for example for Relation Management, scalability 29% and navigability 22% are the most concentrated metrics, in Trust Management, accuracy 25%, and resiliency 25% is more important, in the web service process, time 23% and scalability 16% are the most mentioned and finally in information processing, throughput and time 25% are the most investigated factor. Also, Java-based tools like Eclipse has the most percentage in simulation tools in reviewed literature with 28%, and SWIM has 13% of usage for simulation.

Implementation of Efficient 5G AKA Protocol for Light-Weight Environment

“…Figure 8 shows the process of the UE encrypting authentication message (9). We used random pkHN in the experiment; in this case, we used the shared key, and the UE encrypted the RES* value with the shared key to send to the SEAF.…”

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Anomaly Detection and Classification in Predictive Maintenance Tasks with Zero Initial Training

“…In this section, we discuss some of the possible integration of our architecture in different popular IoT scenarios, such as the Social Internet of Things (SIoT) [28] and in Multi-IoT scenarios (MIoT) [29,30] and in Smart Homes (SH) [31].…”

Machine Learning-Enabled Internet of Things (IoT): Data, Applications, and Industry Perspective

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