An Intelligent Intrusion Detection System for Mobile Ad-Hoc Networks Using Classification Techniques

  • S. Ganapathy
  • P. Yogesh
  • A. Kannan
Conference paper

DOI: 10.1007/978-3-642-20499-9_20

Part of the Communications in Computer and Information Science book series (CCIS, volume 148)
Cite this paper as:
Ganapathy S., Yogesh P., Kannan A. (2011) An Intelligent Intrusion Detection System for Mobile Ad-Hoc Networks Using Classification Techniques. In: Das V.V., Thankachan N., Debnath N.C. (eds) Advances in Power Electronics and Instrumentation Engineering. Communications in Computer and Information Science, vol 148. Springer, Berlin, Heidelberg

Abstract

This paper proposes an intelligent multi level classification technique for effective intrusion detection in Mobile Ad-hoc Networks. The algorithm uses a combination of a tree classifier which uses a labeled training data and an Enhanced Multiclass SVM algorithm. Moreover, an effective preprocessing technique has been proposed and implemented in this work in order to improve the detection accuracy and to reduce the processing time. From the experiments carried out in this work, it has been observed that significant improvement has been achieved in this model from the view point of both high detection rates as well as low false alarm rates.

Keywords

Mobile Ad-hoc Networks Intrusion Detection System Support Vector Machine (SVM) Enhanced Multiclass SVM 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • S. Ganapathy
    • 1
  • P. Yogesh
    • 1
  • A. Kannan
    • 1
  1. 1.Department of Information Science & Technology, College of EngineeringAnna UniversityChennaiIndia

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