An Intelligent Intrusion Detection and Prevention System for Safeguard Mobile Adhoc Networks against Malicious Nodes

Objectives: Mobile Adhoc Networks (MANETs) due to their dynamic topology are more liable to have security problems. These Adhoc Networks are easily susceptible to various types of attacker nodes. Out of the numerous attacks black hole, flooding and selective packet drop attacks are more hazardous attacks which reduce the performance of network under various parameters. Due to this problem, there is a need to develop a new approach for mitigating these attacker nodes simultaneously to improve the performance of MANETs Methods: An Intelligent Intrusion Detection and Prevention System (IIDPS) is proposed for preventing the ad hoc network from these three types of attacks under the AODV protocol. The proposed mechanism works on the basis of trust management. This research work consists of a central network administrator for detecting malicious nodes in the MANETs. IIDPS includes a trust manager which categorizes the trust of the network into different categories. Different types of malicious nodes are identified by the behavior classifier based on a predefined threshold and risk factor conditions. Findings: The proposed IIDPS is responsible for preventing MANETs from the black hole, flooding, and selective packet drop attacker nodes. At the same time, the proposed prevention system improves the performance of the network in the terms of numerous parameters like throughput, overhead, delay, packet delivery ratio etc. Novelty/ Improvement: There is no technique exist for MANETs under AODV protocol for detecting black hole, flooding and selective packet drop malicious nodes. The proposed IIDPS solves this issue to handle of these multiple attacks at the same time.