Network Master Node Assessed Trust Factor with Arbitrary Neighbor Assessment for Secure Route Detection in 6G Enabled Wireless Sensor Networks

Abstract

The wireless research community has been concentrating on sixth-generation (6G) wireless technology. One of the new paradigms brought forward by 6G is its extensive global coverage, enormous spectrum consumption, sophisticated new applications, and tight security. Nevertheless, current classical computers may lack the computational capability necessary to fully realize such features. Already, major IT firms are investigating quantum computers, which might be used as 6G enablers. A growing number of people are opting for 6G enabled wireless sensor networks (WSNs) due to its potential low cost and broad use. Malicious or self-serving nodes, in addition to broken nodes, can significantly reduce a network's performance. Most trust management schemes come with a powerful tool that can detect unusual node behavior. This research goal is to secure WSNs against malicious attacks that take advantage of the replay of routing information, hence a strong trust based routing model has been devised and built to provide safe routing options for WSNs. This research proposes a Network Master Node assessed Trust Factor with Arbitrary Neighbor Assessment (NMN-TF-ANA) for Secure Route Detection in WSN. The proposed model considers nodes in routing based on trust factor and random neighbor evaluation to achieve secure data transmission. The proposed model when contrasted with existing model achieves better performance in route selection.