A DYNAMIC ARTIFICIAL IMMUNE-BASED INTRUSION DETECTION METHOD USING ROUGH AND FUZZY SET

摘要：

　　Artificial immune is proven to be an effective method for adaptive intrusion detection.By using rough set (RS) and fuzzy set (FS),a dynamic artificial immune-based intrusion detection method using rough and fuzzy set is designed (DAIIDRF).A scheme based on rough set for antibodies is proposed.Using antibodies obtainment method,excellent antibodies are promised,at the same time,the detection speed is improved,the convergence rate is higher.At last,the simulation experiments with KDD99 and the comparisons of two algorithms are given.The experimental results show its feasibility and effectiveness of the proposed method.

关键词： Intrusion detection Rough set Fuzzy set Artificial immune

作者: Ling Zhang Zhongying Bai Shoushan Luo Guanning Cui Xing Li

作者单位: School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, Chin School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, Chin

会议类型: 国际会议

会议名称: 2013 International Conference on Information and Network Security(2013信息与网络安全国际会议)

会议地点: 北京

会议语种:英文

页码: 76-82

在线出版日期: 2013-11-22（万方平台首次上网日期，不代表论文的发表时间）