Characterization of attackers' activities in honeypot traffic using principal component analysis
Almotairi, Saleh I., Clark, Andrew J., Mohay, George M., & Zimmermann, Jacob (2008) Characterization of attackers' activities in honeypot traffic using principal component analysis. In 2008 IFIP International Conference on Network and Parallel Computing, IEEE Computer Society, Shanghai, China, pp. 147-154.
Monitoring Internet traffic is critical in order to acquire a good understanding of threats and in designing efficient security systems. While honeypots are flexible security tools for gathering intelligence of Internet attacks, traffic collected by honeypots is of high dimensionality that makes it difficult to characterize. In this paper, we propose the use of principal component analysis, a multivariate analysis technique, for characterizing honeypot traffic and separating latent groups of activities. In addition, we show the usefulness of principal component plots in visualizing the interrelationships between the detected groups of activities and in finding outliers. This work is demonstrated through the use of low interaction honeypot traffic data from the Leurre.com project, a world wide deployment of low interaction honeypots.
Citation countsare sourced monthly fromand 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 theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays 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.
|Item Type:||Conference Paper|
|Keywords:||internet traffic analysis, principal component analysis, network monitoring, honeypot|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)|
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 2008 IEEE|
|Copyright Statement:||"©2008 IEEE. 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:||21 May 2009 10:46|
|Last Modified:||29 Feb 2012 23:45|
Repository Staff Only: item control page