Efficient and Trust Based Black Hole Attack Detection and Prevention in WSN

Abstract

In a Wireless Sensor Network, Security remains a major challenge due to its dynamic topology, open wireless medium, lack of centralized infrastructure, intermittent connectivity, resource constrained sensor nodes. These weak entities make WSN easily compromised by an adversary to device abundant attacks resulting in disastrous consequences. Black Hole can be one of them wherein it exploits a trustworthiness of a network by promising the routing of data packets to the destination knowing that it has a shortest path but in reality it drops all packets and consequently threatens reliability. In order to accomplish secure packet transmission, an efficient and trust based secure protocol is proposed to defend against single and cooperative Black Hole attack. A proposed protocol incorporates trust metric estimation to determine honesty of nodes during secure path formation. A proposed system builds a Hierarchical Cluster Topology and is experimentally evaluated to demonstrate its effectiveness in detecting and preventing efficiently the Black Hole attacks. Besides, the comparison of proposed protocol with one of the existing approach [9] proves that proposed system is efficiently reduces the possibility of misbehaving nodes being a part of network communication process and achieves better packet delivery ratio, throughput and less end-to-end delay. The Simulation results signify that the proposed protocol performs satisfactorily in secure routing and is robust against both single and cooperative Black Hole attacks in a dynamic environment.