Light-Weight Clustered Trust Sensing Mechanism for Internet of Things Network

Abstract

In recent years due to technological advancements, the Internet of Things (IoT) has been continuously shaping the way to interact with the world around us in homes, workplaces and in different aspects of our life. However, the IoT is an infrastructure-less network and used for long-distance communication, the IoT nodes seek the help of other nodes for effective communication and information transfer. In IoT network, secure communication is the prime concern because of the open internet source and heterogeneity which offers challenges to the network. To achieve efficient security in the IoT devices and to make the IoT network more resilient to different attacks there is a need to design a secure framework to make the IoT more secure against several security threats. Trust Sensing has been playing a significant role in dealing with security issues. A new Light Weight Clustered Trust Sensing (LWCTS) Mechanism is developed which mainly aims at the reduction of energy consumption of IoT nodes. Initially, the LWCTS clusters the network and chooses Cluster Heads that are rich in resources. Furthermore, the proposed trust model considers two factors: Interactive trust factor and the mobility factor for trust sensing. The mobility factor involvement is mainly implemented to reduce the false positive count in the network. Simulation experiments are conducted over the proposed model and the performance is measured with Malicious Detection Rate, False Negative Rate, False Positive Rate, Average Energy Consumption, and Packet Delivery Ratio. The obtained results prove the effectiveness when compared with existing approaches.