Enhancing IoT Security with Trust-Based Mechanism for Mitigating Black Hole Attacks

Abstract

This study focuses on enhancing both security and network performance in Mobile Ad Hoc Networks (MANETs) by integrating a trust model with the Ad hoc On-demand Multipath Distance Vector (AOMDV) routing protocol. The inherent structure of MANETs, characterized by dynamic, wireless connections between mobile nodes and a lack of centralized supervision, makes these networks particularly susceptible to security threats. Traditional security solutions designed for fixed networks prove inadequate for the unique challenges posed by ad hoc networks. We explore the benefits of multipath routing, which establishes multiple paths between source and destination nodes, thereby improving the reliability of data transmission and achieving load balancing. However, these benefits are undermined without a robust security framework. To this end, we introduce a trust model as a key mechanism for enhancing security. Trust is not only crucial for decision-making but also vital for the design and analysis of secure distribution systems. By assessing the trustworthiness of nodes, we aim to enhance both security and routing performance. Simulation results suggest that our proposed trust-based routing protocol is effective. Detailed findings will elucidate how this integrated approach can address the pervasive security challenges in MANETs while optimizing network performance.