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.
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.
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:||change point analysis, cumulative sum, darknet, network monitoring|
|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|
Repository Staff Only: item control page