An Enhance Apporach to Mitigate the Impact of Black Hole and Gray Hole Attacks in AODV Routing Protocol
Wireless network has become more and more popular during the past decades. A Mobile AdHoc Network (MANET) is integrating of mobile nodes, in which the packets are forwarded without any centralized network authority. The devices are connected via wireless medium. Due to this characteristic security is high risk because packets are easily trapped in the network. There is no pledge of attack free communication due to heterogeneity in the network. AdHoc on Demand Vector (AODV) is a reactive routing protocol in MANET. This is a typical MANET protocol so in this protocol malicious node tries to attack on this protocol. The operation of AODV is loop-free, and by avoiding the "counting to infinity" difficulty offers quick junction when the ad hoc network topology changes. In this paper, propose a friend-ship value based detection algorithm which aims to detect malicious nodes. We have proposed a approach for securing AODV against black hole attack as well as gray whole attack. This approach also prevents and detects black hole/gray hole node or malicious node in the network. The propose algorithm identifies malicious node as well as improve the performance parameter using NS-2.35 simulator.