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 is proposed. The 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 Run Chen Hongying Qin Bin Li

作者单位: School of Computer Science, Leshan Normal University, Leshan Sichuan, China School of Computer Science, Sichuan University, Chengdu Sichuan, China

会议类型: 国际会议

会议名称: 2011 International Conference on Advanced Materials and Engineering Materials(2011先进材料与工程材料国际会议 ICAMEM 2011)

会议地点: 沈阳

会议语种:英文

页码: 979-984

在线出版日期: 2011-11-22（万方平台首次上网日期，不代表论文的发表时间）