A technique for detecting new attacks in low-interaction honeypot traffic

Almotairi, Saleh I., Clark, Andrew J., Mohay, George M., & Zimmermann, Jacob (2009) A technique for detecting new attacks in low-interaction honeypot traffic. In Georgescu, Sorin, Heikkinen, Seppo, & Popescu, Manuela (Eds.) Proceeding of the Fourth International Conference on Internet Monitoring and Protection, 24-28 May 2009, Venice/Mestre, Italy.

View at publisher


Honeypots are flexible security tools for gathering artefacts associated with a variety of Internet attack activities. While existing work on honeypot traffic analysis focuses mainly on identifying existing attacks, this paper describes a technique for detecting new attacks based on principal component analysis. The proposed technique requires no prior knowledge of attack types and has low computational requirements that makes it suitable for online detection systems. Our method of detecting new attacks is based on measuring changes in the residual space using square prediction error (SPE) statistics. When attack vectors are projected onto the residual space, attacks that are not presented by the main hyperspace will create new directions with high SPE values. We demonstrate the usefulness of our technique by using real traffic data from the Leurré.com project, a world-wide deployment of low-interaction honeypots, where several examples of new traffic detected by the system are illustrated.

Impact and interest:

10 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

513 since deposited on 10 Jun 2009
46 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 20882
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: honeypot monitoring, intrusion detection, network security, principal component analysis
DOI: 10.1109/ICIMP.2009.9
ISBN: 9780769536125
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer System Security (080303)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Institutes > Information Security Institute
Copyright Owner: Copyright 2009 IEEE Computer Society
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 10 Jun 2009 03:52
Last Modified: 22 Jun 2017 14:41

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page