Enhanced Distributed Node Replication attack detection methods in Mobile Wireless Sensor Networks using Artificial Immune System algorithms

Abstract

Mobile sensor networks are used in various applications such as military, robotics, healthcare newlinemonitoring, maintenance in industries, vehicle maintenance and monitoring, environmental monitoring newlineand object tracking. Usually, mobile Wireless Sensor Networks are deployed in unattended newlineenvironments. Due to the environment in which they are deployed, the network is vulnerable to newlinevarious attacks. One such attack is the node replication attack. Due to the attack, sensor nodes are newlinephysically compromised by the adversary to replicate and deploy in the network. These replica nodes newlineact as genuine nodes in the network and cause damage to the network. Therefore, detection of replica newlinenodes in the mobile WSN is a crucial task. The replica detection methods are of two types namely, newlinecentralized and distributed replica detection methods. The centralized replica detection methods incur newlinesingle point of failure. Hence, distributed replica detection methods are focused in the research work. newlineThe distributed replica detection methods are further classified into three types namely, information newlineexchange based replica detection methods, node meeting based replica detection methods and mobility newlineassisted based replica detection methods. Some of the significant distributed replica detection methods newlineare eXtremely Efficient Detection (XED), Efficient Distributed Detection (EDD), Single Hop newlineDetection (SHD) and History Information Protocol (HIP) and History Optimized Protocol (HOP) newlinemethods. newlineIn the existing distributed replica detection methods, the detection accuracy is low when the newlinenumber of replicas increases. Moreover, the decrease in the detection accuracy is evident of colluding newlinereplicas in the network. When the replica nodes collude with each other, they may exchange the shared newlineinformation, remain silent and also they may even elect replica nodes as the witness node. The witness newlinenode is responsible for the communication between the nodes in the network. The proposed research newlinework overcomes the above mentioned challenges