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PGNIDS(Pattern-Graph Based Network Intrusion Detection System) Design

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Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3982))

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Abstract

PGNIDS(Pattern-Graph based Network Intrusion Detection System) generates the audit data that can estimate intrusion with the packets collected from network. An existing IDS(Intrusion Detection System), when it estimates an intrusion by reading all the incoming  packets in network, takes more time than the proposed PGNIDS does. As this proposed PGNIDS not only classifies the audit data into alert and log through ADGM(Audit Data Generation Module) and stores them in the database, but also estimates the intrusion by using pattern graph that classifies IDPM(Intrusion Detection Pattern Module) and event type, Therefore, it takes less time to collect packets and analyze them than the existing IDS, and reacts about abnormal intrusion  real time. In addition, it is possible for this to detect the devious intrusion detection by generating pattern graph.

This work was supported by grant No. B1220-0501-0315 from the University fundamental Research Program of the Ministry of Information & Communication in Republic of Korea.

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Author information

Authors and Affiliations

  1. Dept of Computer Engineering, Kwandong University, Korea

    Byung-kwan Lee, Seung-hae Yang, Dong-Hyuck Kwon & Dai-Youn Kim

Authors
  1. Byung-kwan Lee
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  2. Seung-hae Yang
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  3. Dong-Hyuck Kwon
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  4. Dai-Youn Kim
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina Gavrilova

  2. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. OptimaNumerics Ltd., Cathedral House, 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  5. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  6. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  7. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  8. School of Information and Communication Engineering, Sungkyunkwan University, Korea

    Hyunseung Choo

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© 2006 Springer-Verlag Berlin Heidelberg

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Lee, Bk., Yang, Sh., Kwon, DH., Kim, DY. (2006). PGNIDS(Pattern-Graph Based Network Intrusion Detection System) Design. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3982. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751595_5

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  • DOI: https://doi.org/10.1007/11751595_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34075-1

  • Online ISBN: 978-3-540-34076-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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