A framework of cross layer based anomaly intrusion detection and self healing model for MANET

Abstract

Mobile Ad-hoc Networks (MANETs) are most popular area with many applications and it had infrastructure-less environment. As a result, malicious nodes can easily able to interrupt a route and access the communication without authentication. This paper proposes a cross layer intrusion detection system to discover the malicious nodes and different types of Dos attacks by exploiting the information available across different layers of protocol stack in order to improve the accuracy of detection. This approach used dynamic anomaly detection for efficient detection of anomalies in MANET. This approach include self healing model for repair the attacks during the transaction. Experiments based on simulation (network simulator 2(ns-2) shows that the proposed approach aided by the combination of cross layer technique, performs better than other existing approaches.