Cluster Based Scalable Adaptive Reputation Trust Management (Cb-Sartm) For Mobile Ad Hoc Networks

Abstract

This paper proposes a scalable trust management system for Mobile Ad Hoc Networks (MANETs) based on the Cluster Based Scalable Adaptive Reputation Trust Management (CB-SARTM) model. The system integrates Selective Trust Propagation and Distributed Trust Management to improve scalability, reduce network load, and enhance resilience to attacks. The approach allows nodes to calculate trust based on both direct interactions and recommendations from neighboring nodes within a limited range. Additionally, a distributed ledger mechanism ensures that trust updates are verified by multiple nodes, thus enhancing reliability. The system adapts to on-off attacks using a decay mechanism and includes an inconsistency check to detect malicious behavior such as collusion. By leveraging trust values for service discovery and routing, the proposed method ensures more secure communication in MANETs.