Title: Distributed agent-based detection system using PSO and neural network for MANET

Authors: Reni K. Cherian; A. Shajin Nargunam

Addresses: Computer Science and Engineering, Noorul Islam University, Thuckalay, Kanyakumari, India ' Computer Science and Engineering, Noorul Islam University, Thuckalay, Kanyakumari, India

Abstract: Due to dynamic and infrastructure less nature of mobile adhoc network, it is prone to various kinds of attacks. In this paper, we have proposed a distributed agent-based detection system for network layer attacks using PSO and neural network in MANET. In the proposed technique four agents are considered with different complementary role in order to detect attack. For efficient detection of the intrusion, the network is divided into small zones. In each zone one detection agent is presents to manage and detect the irregularity in node activities. Detection agent is found by using particle swarm optimisation (PSO) technique. After the detection of invader, response agent is generated and is reacted with the invader to avoid future damage. Also, back propagation neural (BPN) network is collaborated with the detection agent to detect the network attacks.

Keywords: mobile ad-hoc networks; MANETs; particle swarm optimisation; PSO; BP neural networks; distributed DoS; denial of service attacks; agent-based detection; agent-based systems; multi-agent systems; MAS; intrusion detection systems; IDS; DDoS attacks; back propagation; BPNNs; EAACK; response agents; network attacks.

DOI: 10.1504/IJMNDI.2016.081659

International Journal of Mobile Network Design and Innovation, 2016 Vol.6 No.4, pp.185 - 195

Received: 24 Sep 2015
Accepted: 14 Feb 2016
Published online: 19 Jan 2017 *

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