GENERIC FRAMEWORK AND MITIGATION ALGORITHM AGAINST BLACK HOLE ATTACK FOR AODV ROUTING PROTOCOL IN MANET

Abstract

Ad hoc On Demand Vector (AODV) is a demand driven route protocol in Mobile Ad hoc Network (MANET). Adhoc Network is always constraint about resources and threat from malicious nodes and hence light solution is preferably needed. Moreover AODV is susceptible to many attacks such as black hole, gray hole, worm hole and so on. There is always a security threat in adhoc network. For this reason, in this thesis, we propose a new method Extended Modified Enhanced AODV (EMEAODV) which is an extended work of our previous work Modified Enhanced AODV (MEAODV). The new proposed method is effective for multiple sessions unlike our previous method. Moreover detection and prevention of black hole attack is done by real time monitoring suspected node by its neighbor node. The method uses the concept of broadcasting. Monitoring of node which replies to RouteRequest (RREQ) by source is done in promiscuous mode. Malicious node is actually detected by neighbor node of RouteReply (RREP) sender node. In simulation, new method has shown outstanding results as compared to MEAODV (Modified Enhanced AODV), EAODV (Enhanced AODV), and IAODV (Improved AODV) mitigation methods of AODV routing protocol. We have simulated our proposed method by using different mobility models such as Random Way Point, Manhattan Grid, Random Walk and Gauss Markov model. We have compared our mitigating scheme with different other mitigating schemes and proved that our algorithm is best in term of packet delivery ratio and end to end delay by varying number of nodes, number of malicious nodes, number of TCP connections and mobility speed.