Safeguarding the Internet of Things: Elevating IoT routing security through trust management excellence

Abstract

This study presents an innovative IoT routing security model that integrates trust management to bolster network reliability, improve resilience against routing attacks, and isolate malicious activities. The model, emphasizing node behavior, reputation, and past performance, offers a nuanced approach to network security. Through comprehensive comparisons between dynamic and static models in IoT routing, the impact on crucial performance parameters, including throughput, packet delivery ratio, control traffic overhead, and energy consumption, is quantified. Simulations showcase the model's effectiveness in securing IoT communication, achieving an impressive 98 % accuracy in detecting and mitigating attacks. Comparative analysis against prior studies underscores its exceptional performance, particularly in identifying and classifying attack types such as wormhole, Sybil, and rank, alongside normal traffic. This trust-based IoT routing security model represents a substantial advancement in securing dynamic IoT environments, standing out as a valuable contribution. Noteworthy is its low average power consumption, contributing to its exceptional lightweight nature.