Identify Intrigue Blackhole and Greyhole Attacks in Prorogation Sophisticated Networks

Abstract

Delay Tolerant Network (DTN) is developed to cope with intermittent connectivity and long delay in wireless networks. Due to the limited connectivity, DTN is vulnerable to black hole and grey hole attacks in which malicious nodes intentionally drop all or part of the received messages. Although existing proposals could accurately detect the attack launched by individuals, they fail to tackle the case that malicious nodes cooperate with each other to cheat the defense system. In this paper, we suggest a scheme called Statistical-based Detection of Black hole and Grey hole attackers (SDBG) to address both individual and collusion attacks. Nodes are required to exchange their encounter record histories, based on which other nodes can evaluate their forwarding behaviors. Black hole attack is act like ad-hoc network, which create network and attack on packets. In black hole attack where a false node not make correct paths in public to receiver node during the direction finding process. The attacker achieves this attack when all the similar kinds of nodes communicate and make network to each other. It is very important to protect the network layer from these attack which is also a great issues in wireless mesh network.