IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-27912-9_40.html
   My bibliography  Save this book chapter

Design and Implementation of Detection Engine Against IDS Evasion with Unicode

In: Current Trends in High Performance Computing and Its Applications

Author

Listed:
  • Dongho Kang

    (Electronics and Telecommunications Research Institute, Security Gateway System Team)

  • Jintae Oh

    (Electronics and Telecommunications Research Institute, Security Gateway System Team)

  • Kiyoung Kim

    (Electronics and Telecommunications Research Institute, Security Gateway System Team)

  • Jongsoo Jang

    (Electronics and Telecommunications Research Institute, Security Gateway System Team)

Abstract

Summary The fast extension of inexpensive computer networks has increased the problem of unauthorized access and tampering with data. As a response to increased threats, many Signature-based Intrusion Detection Systems have been developed. Current NIDSs are barely capable of real-time traffic analysis and detecting IDS evasion techniques on Fast Ethernet links. Gigabit Ethernet has become the actual standard for large network installations. Therefore, there is an emerging need for enhanced security analysis techniques that can keep up with the increased network throughput. This paper introduces the whole architecture of our system designed to perform intrusion detection on high-speed links and proposes the efficient Detection Engine against IDS evasion techniques that is run by FPGA logic.

Suggested Citation

  • Dongho Kang & Jintae Oh & Kiyoung Kim & Jongsoo Jang, 2005. "Design and Implementation of Detection Engine Against IDS Evasion with Unicode," Springer Books, in: Wu Zhang & Weiqin Tong & Zhangxin Chen & Roland Glowinski (ed.), Current Trends in High Performance Computing and Its Applications, pages 333-337, Springer.
  • Handle: RePEc:spr:sprchp:978-3-540-27912-9_40
    DOI: 10.1007/3-540-27912-1_40
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-540-27912-9_40. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.