A Reliable Lightweight Trust Evaluation Scheme for IoT Security

Abstract

The rapid development of smart devices and the consequent demand their reliability have posed many challenges limiting their versatility. One of the most significant challenges is safeguarding the widespread network of sensors and devices within harsh remote environments. Numerous trust schemes have been proposed to overcome related IoT security concerns. However, most of these schemes are not lightweight and consequently are not energy-efficient. This paper proposes a reliable lightweight trust evaluation scheme (RTE) to mitigate the malicious behavior of the nodes within IoT networks. The nodes are grouped into a set of clusters each having a cluster head while cluster members are categorized by evaluating their associated residual energy. Nodes with residual energy lower than the threshold (which is determined by the base station) are suspended until they recover and regain their activity. The computations are handled by the CH which is elected by an algorithm according to its energy and coverage degree in order to optimize the energy consumption in the network. For validation and performance evaluation, the proposed RTE scheme was compared to three of the recent schemes in its category. The obtained results have revealed that the proposed RTE scheme outperforms all of them in terms of detection rate, trust evaluation time, and energy efficiency.

A Survey of Trust Management for Internet of Things

“…Aldawsari and Artoli [4] proposed a cluster-based system. They also incorporated a base station (BS) with unlimited energy into the network.…”

Communication and Content Trust Aware Routing For Clustered IoT Network

“…However, this procedure increases computational complexity and memory requirement. H. Aldawsari et al [11] proposed a trust evaluation method to reduce each node's malicious behaviour within the IoT network named as reliable lightweight trust evaluation method (RTE). Initially, they divided the entire network into few clusters and cluster members are categorised based on the residual energy in each cluster.…”