Wireless network has become more and more popular during the past decades. A mobile ad hoc 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. Ad hoc on demand vector (AODV) is a reactive routing protocol in MANET. This is a typical MANET protocol, so 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, we propose a friend-ship value based detection algorithm which aims to detect malicious nodes. We have proposed an approach for securing AODV against black hole attack as well as gray hole attack. This approach also prevents and detects black hole/gray hole node or malicious nodes in the network. The proposed algorithm identifies malicious nodes as well as improves the performance parameter using NS-2.35 simulator. Keywords: Black hole attack, gray hole attack, AODV protocol, friend-ship value Cite this Article Amit Nakum, Joshi JH. An Enhance Apporach to Mitigate the Impact of Black Hole and Gray Hole Attacks in AODV Routing Protocol. Journal of Network Security. 2016; 4(2): 9–16p.
