A Novel Harmony Search Framework for Sinkhole Attack Recognition in Wireless Sensor Networks

Abstract

A Wireless Sensor Network (WSN) is a system of interconnected sensor nodes that can detect and exchange data wirelessly over very small distances. The communication aspect of WSN makes security a major concern. There have been a number of attacks against the sensor nodes. In a sinkhole attack, a node in the WSN falsely claims to be the one with the shortest route to another node, either the sink or the destination. In order to identify the sinkhole attack, researchers put forth several methods. In this research work, Revamped Harmony Search is employed to detect sinkhole nodes in WSN. The proposed model is compared with 4 other existing techniques to prove its significance. The results are interpreted with different level of imposing sinkhole nodes in the network and on different patterns. On an average, the proposed HRS method significantly outperforms the existing methods.