Fog Level Trust for Internet of Things Devices Using Node Feedback Aggregation

Abstract

Internet of things is a current exploding area of research now in which the number of devices is expected to reach 20 billion in 2050. Devices are becoming intelligent and are being used for many applications which support day to day living of humans. Since the information gathered are being used by human users in most of the cases, trust of the information provider is to be questioned. Lack of trust obstructs the acceptance of these devices and technologies to be implemented. As the technology advances, the IoT network architecture must establish trust between the devices to increase its adaptability among the potential users. In this paper, we propose a Fog level trust establishment technique has been proposed for IoT devices using Node feedback mechanism. Since the trust factors are decided in the fog level, the nodes will know the trust of the other node which they need to communicate only and thereby avoiding bad-mouthing attacks. Considering the node capability in IoT environment, we adopt a mechanism for the calculating the trust of the node which keeps the overhead of the trust computing device to be low. This makes our implementation capable of expanding to handle large scale IoT networks. Information Entropy theory has been adopted to gather the feedback about a node in the fog level which breaks the barriers of subjective trust calculation in the traditional trust management schemes. Results shows an improvement in the efficiency compared to the existing methods.