SAODV: Statistical Ad hoc On-Demand Distance Vector Routing Protocol for Preventing Mobile Adhoc Network against Flooding Attack

Flooding attack is most challenging security threat in Mobile Adhoc Networks (MANETs). This attack is responsible for reducing the network performance of various routing protocols. In this paper, we will discuss MANETs under the AODV protocol. The existing Flooding attack prevention schemes are not much secure for resistance against flooding attacks. In this article, a new statistical based approach is proposed which can detect the flooding attack in an optimistic manner than other techniques. In the proposed SAODV (Statistical Ad-Hoc on Demand Distance Vector) approach, concept of dispersion is used for detecting malicious nodes in the network. In this technique, statistical threshold value is obtained from mean and mean deviation (Dispersion). This value is used to find out the Route Request (RREQ) flooding attacker nodes in the MANET. The proposed technique is efficient because threshold values are computed on the basis of RREQs made by each node in the network. The simulation results clearly depict that the proposed approach has significant performance in the terms of throughput, delay, packet delivery ratio, and overhead.