History-Aware Selfish Node Detection on Mobile Ad-Hoc Network

Abstract MANET are a kind of flexible, infrastructure less, decentralized wireless network, and there is no any boundary that the nodes to manage during joining and leaving from and to the network. Due to their nature MANET is vulnerable to various kinds of attacks, and this paper discus on attacker node by awarding the previous history of each node on proactive protocol. Since there are a number of attackers in MANET, the proposed algorithm covers on packet drop attack. Attackers can be broadly classified in two categories: routing attacks and data forwarding attacks. We address the “Packet Drop Attack”, is a serious threat to operational mobile ad hoc networks. To handle the addressed attacker, we develop and adapt Algorithm for tracking the attacker .By using the proposed algorithm, it minimizes 3 % on end to end delay, increases throughput 2.005% and PDR increases 2.11%, by using Network Simulator 2 (ns-2).