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SCIDS: A Soft Computing Intrusion Detection System

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Distributed Computing - IWDC 2004 (IWDC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3326))

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Abstract

An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. This paper evaluates three fuzzy rule based classifiers for IDS and the performance is compared with decision trees, support vector machines and linear genetic programming. Further, Soft Computing (SC) based IDS (SCIDS) is modeled as an ensemble of different classifiers to build light weight and more accurate (heavy weight) IDS. Empirical results clearly show that SC approach could play a major role for intrusion detection.

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References

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Chung-Ang University, Korea

    Ajith Abraham & Sang Yong Han

  2. Land Operations Division, Defence Science & Technology Organisation (DSTO), Australia

    Ravi Jain

  3. School of Technology and Computer Science, Tata Institute of Fundamental Research, India

    Sugata Sanyal

Authors
  1. Ajith Abraham
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  2. Ravi Jain
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  3. Sugata Sanyal
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  4. Sang Yong Han
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Editor information

Editors and Affiliations

  1. School of Computing and Informatics, Arizona State University, 85287, Tempe, AZ,  

    Arunabha Sen

  2. Indian Statistical Institute, Kolkata,  

    Nabanita Das

  3. Department of Computer Science and Engineering, University of Texas at Arlington, P.O. Box 19015, 76019, Arlington, TX, USA

    Sajal K. Das

  4. ACM Unit, Indian Statistical Institute, 700 108, Kolkata, India

    Bhabani P. Sinha

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© 2004 Springer-Verlag Berlin Heidelberg

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Abraham, A., Jain, R., Sanyal, S., Han, S.Y. (2004). SCIDS: A Soft Computing Intrusion Detection System. In: Sen, A., Das, N., Das, S.K., Sinha, B.P. (eds) Distributed Computing - IWDC 2004. IWDC 2004. Lecture Notes in Computer Science, vol 3326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30536-1_29

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  • DOI: https://doi.org/10.1007/978-3-540-30536-1_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24076-1

  • Online ISBN: 978-3-540-30536-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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