Research Output

NetHost-Sensor: Investigating the capture of end-to-end encrypted intrusive data.

  Intrusion Detection Systems (IDSs) are systems that protect against violation of data integrity, confidentiality and availability of resources. In the past 20 years, these systems have evolved with the technology and have become more sophisticated. Despite these advances, IDS is still an immature field, and the benefits obtained from detecting end-to-end encrypted attacks justify the need for more research.

This paper presents possible advantages of an IDS that uses a target host's kernel as its audit source for intrusion analysis against specific attacks. In addition, we describe our research experience in determining what layer, within a protocol stack of a target host, where decrypted data can be captured for intrusion detection. Then, it examines how to capture decrypted data, while communicating via an End-to-End (ETE) encryption channel. The paper proceeds further to discuss our methodology using network communication driver interfaces, investigative experimental procedures and present our experimental results. Finally, discussions on the methodology of our future research, modelling HTTP network data via procedure analysis technique to reduce false positive rate of attacks are presented.

  • Type:

    Article

  • Date:

    01 September 2006

  • Publication Status:

    Published

  • Publisher

    Elsevier

  • DOI:

    10.1016/j.cose.2006.04.001

  • ISSN:

    0167-4048

  • Library of Congress:

    QA76 Computer software

  • Dewey Decimal Classification:

    005 Computer programming, programs & data

Citation

Abimbola, A., Munoz, J. & Buchanan, W. J. (2006). NetHost-Sensor: Investigating the capture of end-to-end encrypted intrusive data. Computers and Security. 25, 445-451. doi:10.1016/j.cose.2006.04.001. ISSN 0167-4048

Authors

Keywords

Intrusion detection systems; IDS; End-to end encryption attack; kernel mode; Network communication; Driver interfaces; HTTP network; Procedure analysis; Attack detection;

Available Documents