IDEAS home Printed from https://ideas.repec.org/a/igg/jisp00/v4y2010i1p18-31.html
   My bibliography  Save this article

A Host-Based Intrusion Detection System Using Architectural Features to Improve Sophisticated Denial-of-Service Attack Detections

Author

Listed:
  • Ran Tao

    (Louisiana State University, USA)

  • Li Yang

    (University of Tennessee at Chattanooga, USA)

  • Lu Peng

    (Louisiana State University, USA)

  • Bin Li

    (Louisiana State University, USA)

Abstract

Application features like port numbers are used by Network-based Intrusion Detection Systems (NIDSs) to detect attacks coming from networks. System calls and the operating system related information are used by Host-based Intrusion Detection Systems (HIDSs) to detect intrusions toward a host. However, the relationship between hardware architecture events and Denial-of-Service (DoS) attacks has not been well revealed. When increasingly sophisticated intrusions emerge, some attacks are able to bypass both the application and the operating system level feature monitors. Therefore, a more effective solution is required to enhance existing HIDSs. In this article, the authors identify the following hardware architecture features: Instruction Count, Cache Miss, Bus Traffic and integrate them into a HIDS framework based on a modern statistical Gradient Boosting Trees model. Through the integration of application, operating system and architecture level features, the proposed HIDS demonstrates a significant improvement of the detection rate in terms of sophisticated DoS intrusions.

Suggested Citation

  • Ran Tao & Li Yang & Lu Peng & Bin Li, 2010. "A Host-Based Intrusion Detection System Using Architectural Features to Improve Sophisticated Denial-of-Service Attack Detections," International Journal of Information Security and Privacy (IJISP), IGI Global, vol. 4(1), pages 18-31, January.
  • Handle: RePEc:igg:jisp00:v:4:y:2010:i:1:p:18-31
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jisp.2010010102
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jisp00:v:4:y:2010:i:1:p:18-31. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.