The Internet is populated with billions of electronic gadgets that have become a part of our fabric. Internet of Things is gaining popularity in at most all applications from smart buildings, intelligent transportation, healthcare and defence. IoT is a many vision one paradigm technology. One of the many visions of IoT is to make 'Things' social. Social Internet of Things (SIoT) is a young paradigm that integrates IoT and Social networking principles where Things are not only autonomous and smarter but also socially conscious. The authors propose a trust management scheme to facilitate trustworthy automatic decision making based on behaviour of objects. The authors use SIoT Trust metrics namely direct trust, centrality, community interest, Cooperativeness, Service Score to compute Trustworthiness among objects. The Expected trust and periodic trust updates evidently identify the presence of 'on off' selective forwarding attacks. The authors demonstrate the advantages of the proposed scheme with other existing trust management schemes in the literature.
The world has faced three Information and Communication Technology (ICT) revolutions and the third ICT wave led to Internet of Things, the notion of anything, everything, anytime and everywhere. Out of the many visions of IoT, one revolutionary concept is to make IoT sociable i.e., incorporating social networking within Internet of Things. This revolution has led to the notion of Social Internet of Things (SIoT). Establishing a SIoT network or community is not so simple and requires integration of heterogeneous technology and communication solutions. This paper focuses on establishing a secure and reliable communication over nodes in SIoT by computing trust dynamically among neighboring nodes. Trust Management is an important area that has attracted numerous researchers over the past few years. The proposed DTrustInfer computes trust based on first hand observation, second hand observation, centrality and dependability factor of a node. Properties of trust such as honesty, cooperativeness, community interest and energy of a node are considered for computing trust. Also, this paper ensures secure communication among SIoT nodes through simple secret codes. Experimental results show that the proposed DTrustInfer outperforms the existing trust models significantly.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.