Design of Soft Computing based Black Hole Detection in MANET

D. Vydeki, K. S. Sujatha, R. S. Bhuvaneswaran

2012

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 system results in a 100% efficient detection.

References

  1. Charles E. Perkins, 2001, “Ad hoc Networking”, AddisonWesley.
  2. Farooq Anjum, 2007, “Security for Wireless Ad hoc Networks”, John Wiley & Sons.
  3. Ming-Yang Su, 2011, “Prevention of Selective black hole attacks on mobile attack networks through IDS”, Computer Communications.
  4. Anup Goyal and Chetan Kumar, 2010, “ GA-NIDS: A Genetic Algorithm based Intrusion Detection System”.
  5. C.Sivaram Murthy, B. S. Manoj, 2007, “Ad hoc Wireless Networks, Protocols and Architecture”, Pearson Education.
  6. Chin-Yang Tseng, 2003, Poornima Balasubramanyam, Calvin Ko, “A Specification-based Intrusion Detection System for AODV”, Proceedings of the 1st ACM workshop on Security of ad hoc and sensor networks.
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Paper Citation


in Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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