An immunity-based model for dynamic distributed intrusion detection

Peili Qiao; Tong Wang; Jie Su

doi:10.1117/12.772250

17 March 2008 An immunity-based model for dynamic distributed intrusion detection

Peili Qiao, Tong Wang, Jie Su

Proceedings Volume 6973, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2008; 69730P (2008) https://doi.org/10.1117/12.772250
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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.

Citation Download Citation

Peili Qiao, Tong Wang, and Jie Su "An immunity-based model for dynamic distributed intrusion detection", Proc. SPIE 6973, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2008, 69730P (17 March 2008); https://doi.org/10.1117/12.772250

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