ADAPTIVE METHOD FOR DETECTION AND PREVENTION OF COOPERATIVE BLACK HOLE ATTACK IN MANETs

The Mobile adhoc networks (MANETs) networks that are defined as the wireless self configuring networks that are capable of operating without the support of any fixed infrastructure and a central coordinator which makes the routing a complicated task. One of the main challenges in MANET is to design robust security solution that can protect MANET from various routing attacks. MANET is vulnerable to different types of attacks such as black hole, sybill attack, wormhole attack, gray hole attack and so on. Among them black hole is considered to be a major attack which affects the entire network performance based on routing, packet delivery ratio, throughput and end to end delay of packets. The communication takes place between two parties by sharing their information like from-node to nexthop-node’s information. In this paper, an adaptive method for detection and prevention of black hole attack in a MANET is proposed based on Data Access Table (DAT), which is an array [ ] [ ] that maintains from-node to nexthop-node’s information. We choose AODV as routing protocol and NS2 as simulator tool. The results are compared with threshold based algorithm for detection and prevention of cooperative black hole attack in a MANET. The adaptive method gives better performance than the threshold based algorithm, in terms of throughput, packet delivery ratio and end-to-end delay.