Trusted Net: A Lightweight Cluster-Based Trust Sensing System for IoT Networks

Abstract

Abstract— The Internet of Things is founded on the premise that objects in the human living environment can be connected to the Internet. Adoption of the Internet of Things cannot be permitted until security issues are addressed. Security solutions for the Internet of Things can be built on unique designs such as partitioning a mobile network into clusters managed by a cluster head, often known as clustering. However, without any security considerations, the clustering process is vulnerable to a variety of security-related internal attacks. A trust management system, which has proven its security efficiency and friability in mobile networks, might be used to defend the IoT against rogue nodes within it. In this research, we provide a trust-based clustering technique for the Internet of Things. Trust Sensing has played an important part in dealing with security concerns. A novel Light Weight Clustered Trust Sensing (LWCTS) Mechanism has been created with the primary goal of reducing The amount of energy that IoT nodes use. The LWCTS first clusters the network and chooses highly resourced Cluster Heads. Additionally, two components are considered in the proposed trust model: the mobility component for trust sensing and the interactive trust factor. The primary purpose of mobility factor inclusion in the network is to reduce the number of false positives.