A Trust-Based Security Scheme for Malicious Node Isolation Based on the Fine-Grained Analysis of Packet Losses

Abstract

In a wireless sensor network, packet losses can result from attacks affecting the nodes or the wireless links connecting the nodes. Failure to identify the actual attack can undermine the efficacy of the attack responses. We need approaches to correctly identify the cause of packet losses Packet losses in a wireless sensor network represent an indicator of possible attacks to the network. Detecting and reacting to such losses is important to determine the actual cause of the loss.

In this paper, a scheme is proposed which is able to identify malicious nodes properly using network parameters to determine whether packet losses are due to queue overflows or node mobility in MANETs. The proposed system also includes a fine-grained analysis (FGA) scheme for packet loss and the development of a comprehensive trust model for malicious node identification and separation. Our proposed FGA scheme is evaluated in terms of effectiveness and performance metrics under different network parameters and configurations. The experimental results show that our proposed trust model achieves a significant reduction