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A novel sliding window based change detection algorithm for asymmetric traffic

Ahmed, Ejaz, Clark, Andrew J., & Mohay, George M. (2008) A novel sliding window based change detection algorithm for asymmetric traffic. In IFIP International Conference on Network and Parallel Computing, 18-19 October 2008, Shanghai, China.

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Abstract

The effects of network attacks may result in abrupt changes in network traffic parameters. The speedy identification of these changes is critical for smooth network operation. This paper illustrates a sequential analysis technique for detecting these unknown abrupt changes in asymmetric network traffic. A novel sliding window based adaptive cumulative sum (CUSUM) algorithm is used to detect the cause of such variations in network traffic. The significance of the proposed algorithm is two-fold: (1) automatic adjustment of the change detection threshold while minimising the false alarm rate, and (2) timely detection of an end to the anomalous traffic. The validity of the proposed technique is investigated by experimentation on simulated data and on 18 months of real network traces collected from a class C darknet. Comparative analysis of the proposed technique with a traditional CUSUM method demonstrates its superior performance with high detection accuracy and low false alarm rate.

Impact and interest:

9 citations in Scopus
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3 citations in Web of Science®

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ID Code: 20572
Item Type: Conference Paper
Additional URLs:
Keywords: change point analysis, cumulative sum, darknet, network monitoring
DOI: 10.1109/NPC.2008.81
ISBN: 9780769533544
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DISTRIBUTED COMPUTING (080500) > Networking and Communications (080503)
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: 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 13:09
Last Modified: 29 Feb 2012 23:44

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