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Learning Based Trust Computational Model for Internet of Things Environment Using Integrated Method

Shweta ., Sunil Kumar


The Internet of Things has made noteworthy benefits over old style communication technologies. IoT has done a lot in the modern day and has totally changed the scenario of technologies. Trust is an important part of the Internet of Things which decreases risk in a service oriented environment. Counting on an ample literature review, the main objectives of this research paper are to present an integrated trust evaluation model based on the learning Techniques. In this research paper, a new concept of freshness and behavior analysis using trust sharing is introduced which makes trust computation more effective than traditional models. It also maintains the trustworthiness update. The results for building the trust worthy framework are also being discussed in this paper. Our proposed system also considers two major attacks which may rather affect degradation of trustworthiness of the IoT system. Though, this manuscript can share good knowledge for the new researchers, who are willing to do research in this field of Internet of Things, Trust management and behavior analysis together in an efficient way.

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