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An Intelligent Approach of Packet Marking at Edge Router for IP Traceback

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3683))

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Abstract

With the help of real source identity in packets, network security system can intelligently protect and counteract the attacks. Packet marking is an important method of source identification, and there are some issues on it. For large amount of packets, analysis time and complicated computation are necessary while detect marking information. This paper focuses on this direction, and proposes a simple and efficient method to mark all packets belonging to upstream traffic with a deterministic, plain form identity. With this approach, we just need low processing power on some specific edge routers as well as a little extra network traffic to settle it. Furthermore, distilling mark from packets is easy since the mark is in plain text format.

This work was supported by University ITRC Project of MIC

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Author information

Authors and Affiliations

  1. School of Electronics and Information, Kyung Hee Univerity, 449-701, Korea

    Dae Sun Kim, Choong Seon Hong & Yu Xiang

Authors
  1. Dae Sun Kim
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  2. Choong Seon Hong
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  3. Yu Xiang
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Kim, D.S., Hong, C.S., Xiang, Y. (2005). An Intelligent Approach of Packet Marking at Edge Router for IP Traceback. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_44

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  • DOI: https://doi.org/10.1007/11553939_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28896-1

  • Online ISBN: 978-3-540-31990-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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