Trust Management for Device to Device Communication in Internet of Thing using Learning Techniques
Pages : 1133-1139
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Abstract
IoT has emanate out of advance in communication and information Technologies. IoT can be used in vast applications that can be used to simplify the needs of human beings. The IoT can be implemented in fields like Smart cities, homes, healthcare etc. In IoT device communicates with other devices many issues and challenges comes in picture regarding security and privacy. Trust management and how to calculate the trust score is one of the important issue. In this paper issues regarding calculations of trust score and trust management is proposed. The proposed method in this paper makes trust score calculation promising. The Fuzzy based method is proposed in this paper. The fuzzy approach used in paper uses three linguistic values for six parameters which are calculated from data collected from IoT devices. In this paper, we have also generated real-time datasets. We generate two datasets and compare them to check our approach of calculating the trust score is correct or not. Then this datasets are given to a proposed machine learning model. This proposed model can be used to predict trust score in IoT application.
Keywords: Fuzzy Approach, Internet of things (IoT), Trust Score, Device to Device communication, Trust Management