Research on Detector Generating Algorithm based on Artificial Immune

摘要：

The key of intrusion detection system based on artificial immune is generating the Detector set. To generate highly efficient one, we adopt the mutated Nonself-body set to generate candidate detectors and variable threshold R continues bits matching rule to reduce the number of hole in mature detector, increase the tolerance of the candidate detector and the detector set, to result in mismatch detectors and increase detect ability. Theoretical analysis and experimental results show that the improved algorithm is effective and feasible.

关键词： Artificial Immunity Intrusion Detection Negative Algorithm R- Continues bits Matching Rule Hole

作者: LIU Zhen XU Su LI Jun

作者单位: College of Computer and Information Nanchang University Jiangxi Nanchang, China School of Mechanical Engineering Shanghai Jiao Tong University ShangHai, China

会议类型: 国际会议

会议名称: 2010年IEEE多媒体信息网络与安全国际会议

会议地点: 南京

会议语种:英文

页码: 452-455

在线出版日期: 2010-11-01（万方平台首次上网日期，不代表论文的发表时间）