Characterising anomalous events using change point correlation on unsolicited network traffic

Ahmed, Ejaz, Clark, Andrew, & Mohay, George M. (2009) Characterising anomalous events using change point correlation on unsolicited network traffic. In Josang, Audun, Maseng, Torleiv, & Knapskog, Svein Johan (Eds.) Identity and Privacy in the Internet Age : Proceedings of the Fourteenth Nordic Conference on Secure IT Systems, Springer, University of Oslo, Oslo, pp. 104-109.

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Monitoring unused or dark IP addresses offers opportunities to extract useful information about both on-going and new attack patterns. In recent years, different techniques have been used to analyze such traffic including sequential analysis where a change in traffic behavior, for example change in mean, is used as an indication of malicious activity. Change points themselves say little about detected change; further data processing is necessary for the extraction of useful information and to identify the exact cause of the detected change which is limited due to the size and nature of observed traffic. In this paper, we address the problem of analyzing a large volume of such traffic by correlating change points identified in different traffic parameters. The significance of the proposed technique is two-fold. Firstly, automatic extraction of information related to change points by correlating change points detected across multiple traffic parameters. Secondly, validation of the detected change point by the simultaneous presence of another change point in a different parameter. Using a real network trace collected from unused IP addresses, we demonstrate that the proposed technique enables us to not only validate the change point but also extract useful information about the causes of change points.

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ID Code: 28344
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: intrusion detection, internet monitoring, change point detection, darknet
DOI: 10.1007/978-3-642-04766-4_8
ISBN: 9783642047657
ISSN: 0302-9743
Subjects: Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > COMMUNICATIONS TECHNOLOGIES (100500) > Computer Communications Networks (100503)
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 Springer
Copyright Statement:

This is the author-version of the work.

Conference proceedings published, by Springer Verlag, will be available via SpringerLink.

Deposited On: 29 Oct 2009 22:09
Last Modified: 25 Oct 2016 23:41

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