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  1. Proceedings of the Asian Internet Engineeering Conference (AINTEC '12)
  2. Improving an SVD-based combination strategy of anomaly detectors for traffic labelling
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On incentive-based inter-domain caching for content delivery in future internet architectures
Towards a pluralist internet using a virtual machine server for network customization
Delay tolerant network based e-mail system using trains
Data collection in heterogeneous wireless sensor networks
Malware classification based on extracted API sequences using static analysis
Fairness among high speed and traditional TCP under different queue management mechanisms
Congestion control scheme of Compound TCP+ in wireless LANs
External device session initiation framework using mobile phone connection information
Dissecting dissemination in VANETs
Improving an SVD-based combination strategy of anomaly detectors for traffic labelling
Validation of session layer protocols and API in ZNA

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Improving an SVD-based combination strategy of anomaly detectors for traffic labelling

Content Provider ACM Digital Library
Author Esaki, Hiroshi Fontugne, Romain Fukuda, Kensuke Mazel, Johan
Abstract Network anomaly detection is a crucial task in traffic monitoring. Tools targeting this particular problematic need to be thoroughly evaluated to assess their efficiency. Such evaluation needs reliable ground truth data to be effective. The goal of the present article is to assist researchers in the evaluation of detectors by providing them with labelled anomaly traffic traces. One of the promising strategies to provide reliable ground truth data is to combine the output of the multiple anomaly detectors with different theoretical background. In this paper, we provide an in-depth analysis of the Singular Value Decomposition (SVD) based combination strategy that has been recently applied to anomaly detectors (MAWILab). This analysis highlights the key drawback of the method to efficiently discriminate the anomalous traffic from the harmless one. We then propose several techniques to overcome this drawback and improve the discrimination power of the combination strategy. Our evaluation using four anomaly detectors and four years of real backbone traffic traces (MAWI) emphasizes the accuracy gain of the proposed techniques over the original study.
Starting Page 69
Ending Page 76
Page Count 8
File Format PDF
ISBN 9781450318143
DOI 10.1145/2402599.2402609
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-11-14
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Combination strategy Network anomaly detection Anomaly labelling
Content Type Text
Resource Type Article
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