Secure Route Detection with Multi Level Trust Evaluation Model Using Replicated Auditor Node for Extended Packet Delivery Rate in WSN

Abstract

Wireless sensor networks (WSNs) are designed to monitor their surroundings, an application that has been leveraged significantly by advances in the Internet of Things (IoT). However, the susceptibility of wireless systems to errors and malicious attacks remains a challenge. Identity deception, particularly, has emerged as a significant issue, exacerbated by the redundancy of multi-hop routing, leading to potentially damaging attacks on routing protocols. Routing, the method employed in WSNs to disseminate data to base stations, has recently seen the incorporation of trust mechanisms to enhance security and foster cooperation among nodes. Routing decisions are made based on the anticipated trustworthiness of individual nodes. Considering the vulnerability of WSNs to various attacks, secure routing is of paramount importance. In this research, we propose a Multi-Level Trust Evaluation Model using Replicated Auditor Node (MLTEM-RAN) for secure route detection. This model aims at maximizing the packet delivery rate. It takes into account information about each relay node along the path, including the trust value and the current condition of each node. The trust value of a node is defined as the attack probability of the node, which is based on historical behaviors. The node's status, on the other hand, is a composite measure that considers both the node's remaining energy and its distance to the sink node. When compared with existing models, the proposed MLTEM-RAN model demonstrates superior performance in terms of packet delivery rate. This study thus represents a significant step forward in the development of secure and efficient routing strategies for WSNs.