An Immune Intrusion Detection Model Based on One-class Classification Technology
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.
Biological Immune System One-class Classification Intrusion Detection Antibody
Yan Zhang Caiming Liu Run Chen Hongying Qin Bin Li
School of Computer Science, Leshan Normal University, Leshan Sichuan, China School of Computer Science, Sichuan University, Chengdu Sichuan, China
国际会议
沈阳
英文
979-984
2011-11-22(万方平台首次上网日期,不代表论文的发表时间)