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Proceedings Paper

Catastrophe model construction and verification for network anomaly detection
Author(s): Jianren Lin; Xiaolong Yang; Keping Long; Yunfeng Peng
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Paper Abstract

This paper proposes a network anomaly detection method based on catastrophe theory. The network anomaly detection model based on catastrophe theory is constructed by utilizing the catastrophe characters of the cusp catastrophe model in catastrophe theory and analyzing the properties of network data included normal and abnormal data. The simulation demonstrated that with the anomaly detection algorithm, this model could detect the network anomaly not only timely, but also detect precisely.

Paper Details

Date Published: 19 November 2008
PDF: 8 pages
Proc. SPIE 7137, Network Architectures, Management, and Applications VI, 71371Q (19 November 2008); doi: 10.1117/12.804305
Show Author Affiliations
Jianren Lin, Univ. of Electronic Science and Technology of China (China)
Xiaolong Yang, Univ. of Electronic Science and Technology of China (China)
Keping Long, Univ. of Electronic Science and Technology of China (China)
Yunfeng Peng, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 7137:
Network Architectures, Management, and Applications VI
Weisheng Hu; Shoa-Kai Liu; Ken-ichi Sato; Lena Wosinska, Editor(s)

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