Improving the Performance of AODV routing protocol to Mitigate Route Request flooding attack in MANET

Abstract

Mobile ad hoc Network (MANET) is a collection of network devices which are connected through the wireless links. Due to this, the attackers seek a chance to pierce into the network and become a cause of malfunctioning in the network. So, during the phases of routing in different types of protocols, each of the attack finds a way to degrade the performance of the Network. In this research, Mitigation of route request flooding attack in AODV is designed and implemented on ns-2 simulator. To do this, we proposed new technique based on number of RREQ of nodes within NET TRAVERSAL TIME in each nodes and calculating the mean of RREQ by adding number of RREQ of each nodes and divide to number of nodes in the network finally add the RREQ RATE LIMIT of default AODV to identify threshold value to detect RREQ flooding attack node in AODV. We have evaluated the performance of our proposed Mitigation of route request flooding attack by enhancing AODV (MRREQF-AODV) through MANET simulation environment. We have evaluated the performance of our proposed Within 20, 40 and 60 MANET nodes. The simulation experiment shows that the proposed MRREQF-AODV results within 20,40 and 60 MANET nodes are 93%,93% and 86% packet delivery ratio, 0.0165897,0.0184648 and 0.0098557 ms average end to end delay, 261.32, 266.1 and 246.93 kbps throughput, 2, 2.0125 and 1.9175 joule average residual energy respectively whereas AIF-AODV Within 20,40 and 60 MANET nodes are 17.9%,19.2% and 11.1% packet delivery ratio, 1.124,1.034 and 1.180 ms average end to end delay, 173.4,195 and 113.1 kbps throughput, and 1.680, 1.087 and 0.375 joule average residual energy respectively and in normal AODV within 20,40 and 60 MANET nodes are 16.46 %,16.35% and 24.41% packet delivery ratio, 1.3726, 1.361 and 1.28295 ms average end to end delay, 86.75, 39.12 and 107.61 kbps throughput, and 2.67, 0.6675 and 0.296667 joule average end to end delay, 173.4,195 and 113.1 kbps throughput, and 1.680, 1.087 and 0.375 joule average residual energy respectively. Thus, indicate that, MRREQF-AODV for detecting RREQ flooding attack Based on the proposed technique of AODV provides better performance than normal AODV and AIF-AODV and improves the service of mobile nodes