Efficient Trust-based Malicious Node Identification and Recovery Technique in Resource-Constrained Wireless Sensor Networks

Abstract: Protecting Wireless Sensor Networks from various security attacks is challenging. The effect of destructive security attacks like black-hole and warm-hole are more on resource-constrained Wireless Sensor Networks; these attacks target the nodes and cause packet alteration, routing disruption, and node failure. Adding malicious nodes to an existing wireless sensor network is one of the common threats. Malicious nodes may reduce network reliability by saturating the network with traffic, sending data, or creating new paths.This paper proposes a methodology based on the AODV protocol to detect and recover malicious nodes using trust metrics like node behaviour, acknowledgements, and residual energy, nodes fail to score threshold value declared as malicious, and node recovery mechanism activated, idle node present near to the malicious node recover the affected node and make it eligible for further communication. Experimental results are conducted using NS2 and proved that the proposed methodology enhances the Throughput, Packet Delivery Ration and reduces End to End Delay by identifying and recovering the malicious nodes.

Keywords: Security, Malicious Nodes, AODV, Node Recovery, Wireless Sensor Network.