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Design of Soft Computing based Black Hole Detection in MANET

Topics: Ad Hoc Networks of Autonomous Intelligent Systems; Information Security Policy for Wireless Networks; Mobile Ad Hoc Networks and Multi-Hop Wireless; Modeling, Algorithms, and Performance Evaluation; Performance Analysis of Wireless Networks; Wireless Application Areas

Authors: D. Vydeki 1 ; K. S. Sujatha 1 and R. S. Bhuvaneswaran 2

Affiliations: 1 Easwari Engineering College, India ; 2 Anna Univesity, India

ISBN: 978-989-8565-25-9

Keyword(s): Intrusion Detection, Black Hole, Fuzzy Logic, Genetic Algorithm.

Related Ontology Subjects/Areas/Topics: Ad Hoc Networks of Autonomous Intelligent Systems ; Information Security Policy for Wireless Networks ; Mobile Ad Hoc Networks and Multi-Hop Wireless ; Mobile Software and Services ; Modeling, Algorithms, and Performance Evaluation ; Performance Analysis of Wireless Networks ; Sensor, Mesh and Ad Hoc Communications and Networks ; Telecommunications ; Wireless and Mobile Technologies ; Wireless Application Areas ; Wireless Information Networks and Systems

Abstract: Mobile Ad hoc Networks (MANETs) are more vulnerable to attacks than the generic wireless network due to the lack of an underlying infrastructure and shared medium. Intrusion Detection System (IDS) provides an enhanced level of security to such networks. Application of Soft computing techniques to the detection process is proved to be more suitable as they have human-like decision-making capabilities. This paper proposes a hybrid intrusion detection system for MANETs that detects black hole attack, by combining anomaly and specification-approaches of IDS. The proposed system aims at designing two different IDS using the two fundamental soft computing mechanisms such as, Fuzzy and Genetic Algorithm (GA). The design of each IDS is tested with simulated MANETs for various traffic conditions. The performance of each system is compared based on the true and false positive rates. The experimental results show that the fuzzy based system produces 81.8% true positive rate and the GA based syst em results in a 100% efficient detection. (More)

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Paper citation in several formats:
Vydeki, D.; S. Sujatha, K. and S. Bhuvaneswaran, R. (2012). Design of Soft Computing based Black Hole Detection in MANET.In Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2012) ISBN 978-989-8565-25-9, pages 283-288. DOI: 10.5220/0004070802830288

@conference{winsys12,
author={D. Vydeki. and K. S. Sujatha. and R. S. Bhuvaneswaran.},
title={Design of Soft Computing based Black Hole Detection in MANET},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2012)},
year={2012},
pages={283-288},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004070802830288},
isbn={978-989-8565-25-9},
}

TY - CONF

JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: WINSYS, (ICETE 2012)
TI - Design of Soft Computing based Black Hole Detection in MANET
SN - 978-989-8565-25-9
AU - Vydeki, D.
AU - S. Sujatha, K.
AU - S. Bhuvaneswaran, R.
PY - 2012
SP - 283
EP - 288
DO - 10.5220/0004070802830288

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