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Proceedings Paper

An immunity-based model for dynamic distributed intrusion detection
Author(s): Peili Qiao; Tong Wang; Jie Su
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Paper Abstract

The traditional intrusion detection systems mostly adopt the analysis engine of the concentrating type, so the misinformation rate is higher and lack of self-adaptability, which is already difficult to meet increasing extensive security demand of the distributed network environment. An immunity-based model combining immune theory, data mining and data fusion technique for dynamic distributed intrusion detection is proposed in this paper. This system presents the method of establishing and evolving the set of early gene, and defines the sets of Self, Nonself and Immunity cells. Moreover, a detailed description is given to the architecture and work mechanism of the model, and the characters of the model are analyzed.

Paper Details

Date Published: 17 March 2008
PDF: 7 pages
Proc. SPIE 6973, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2008, 69730P (17 March 2008); doi: 10.1117/12.772250
Show Author Affiliations
Peili Qiao, Harbin Univ. of Science and Technology (China)
Tong Wang, Harbin Univ. of Science and Technology (China)
Jie Su, Harbin Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6973:
Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2008
William J. Tolone; William Ribarsky, Editor(s)

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