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Proceedings Paper

Evidential reasoning research on intrusion detection
Author(s): Xianpei Wang; Hua Xu; Sheng Zheng; Anyu Cheng
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Paper Abstract

In this paper, we mainly aim at D-S theory of evidence and the network intrusion detection these two fields. It discusses the method how to apply this probable reasoning as an AI technology to the Intrusion Detection System (IDS). This paper establishes the application model, describes the new mechanism of reasoning and decision-making and analyses how to implement the model based on the synscan activities detection on the network. The results suggest that if only rational probability values were assigned at the beginning, the engine can, according to the rules of evidence combination and hierarchical reasoning, compute the values of belief and finally inform the administrators of the qualities of the traced activities -- intrusions, normal activities or abnormal activities.

Paper Details

Date Published: 2 September 2003
PDF: 5 pages
Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.522207
Show Author Affiliations
Xianpei Wang, Wuhan Univ. (China)
Hua Xu, Wuhan Univ. (China)
Sheng Zheng, Wuhan Univ. (China)
Anyu Cheng, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 5253:
Fifth International Symposium on Instrumentation and Control Technology
Guangjun Zhang; Huijie Zhao; Zhongyu Wang, Editor(s)

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