K. Yang, Y. Sai, and X. Wang (PRC)
Intrusion Detection, Immune System, Detection Agent, Rough Set Reduction, Gene Evolution
Firstly, the problems and developing tendency of intrusion detection are analyzed and the applications of immune theory for network security are summarized. Then, an adaptive network intrusion detection model based on immune agent and its gene evolution is raised. For enhancing detection agent's adaptability and accuracy to recognize non-self, we introduced reduction algorithm based on rough set theory to preprocess a plenty of security data and to generate the antibody's gene bank. This model not only can reduce the extra data, but also can optimize the antibody's gene, so it can effectively raise the adaptability and accuracy of intrusion detection system.
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