Automatic Location Detection System for Anomaly Traffic on Wired/Wireless Networks (original) (raw)

Abstract

As use of Internet has grown, wired/wireless network backbone and access network has speed up, network environment get composed complexity. Recently network fault is often happened by worm virus, and then the major reason is anomaly traffic flowed from host inside rather than attack from outside. In this paper, using monitoring the load of network node and detecting abnormally signs about anomaly traffic, we try to design and implement automatic system which can trace the location for the affected system.

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Author information

Authors and Affiliations

  1. Dept. of Computer Eng., Sungkyunkwan Univ., Korea
    Ki-Sung Yu & Sung-Jin Ahn
  2. R&D Network Management, KISTI, Korea
    Won-Hyuk Lee
  3. School of Infor. and Comm. Eng., Sungkyunkwan Univ., Korea
    Jin-Wook Chung

Authors

  1. Ki-Sung Yu
  2. Won-Hyuk Lee
  3. Sung-Jin Ahn
  4. Jin-Wook Chung

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada
    Marina L. 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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Yu, KS., Lee, WH., Ahn, SJ., Chung, JW. (2006). Automatic Location Detection System for Anomaly Traffic on Wired/Wireless Networks. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3981. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751588\_102

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