An Immune Intrusion Detection Model Based on One-class Classification Technology

摘要：

An intrusion detection model based on biological immune principle and one-class classification technology proposed. A one-class classification technology named support vector domain description (SVDD) is applied to the proposed model. Simple multi-dimension feature vectors of network packets are mapped into high dimension feature space. The description models of the antibody and the self set are constructed. The evolution process of antibodies is described with math language. The theoretical analysis shows that the proposed model can detect network attack effectively, and unknown network attacks can be detected.

关键词： Biological Immune System One-class Classification Intrusion Detection Antibody

作者: Yan Zhang Caiming Liu Jin Yang Hongying Qin

作者单位: School of Computer Science, Leshan NormalUniversity, Leshan 614004, China Laboratory of Intelligent Information Processing and Application, Leshan Normal University, Leshan 6 Laboratory of Intelligent Information Processing andApplication, Leshan Normal University, Leshan 61

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 146-149

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）