TBESP algorithm for Wireless Sensor Network under Blackhole attack

Abstract

Wireless Sensor Network consists of large number of sensor nodes with limited battery power, which are randomly deployed over certain area for several applications. Wireless Sensor Network (WSN) has a great potential to be deployed in wide range of applications like consumer, industrial and defense sectors. WSNs are susceptible to various attacks, in which Blackhole a kind of Denial of Service (DoS) attack is very difficult to detect and defend. In blackhole attack, an adversary captures and re-programs a set of nodes in the network to block the packets they receive instead of forwarding them towards the base station. As a result any information that enters the blackhole region is captured and doesn't reach the destination. Due to this attack, high end-to-end delay is introduced in the network and performance of the network (i.e. throughput) is degraded. In this paper a comparative performance analysis of two WSN's topologies i.e. Tree and Mesh under blackhole attack is done. If there is a WSN prone to blackhole attack and requires time efficient network service for information exchange then Tree topology is to be chosen. If it requires throughput efficient and consistent service in the network then Mesh topology isrecommended. An algorithm named as Topology Based Efficient Service Prediction (TBESP) algorithm has been proposed depending upon the analysis done which will help in choosing the best suited topology as per the network service requirement under blackhole attack.

A New Intrusion Detection System Based on KNN Classification Algorithm in Wireless Sensor Network

“…Wazid et al proposed an algorithm named Topology Based Efficient Service Prediction (TBESP) [39] algorithm Journal of Electrical and Computer Engineering 7 depending upon the analysis done which will help in choosing the best suited topology as per the network service requirement under red hole attack. They also proposed a novel technique [40] for the detection and prevention of red hole attack in WSN.…”