Intrusion Detection and Defending Based on Fuzzy Patterns Recognition

摘要：

The fuzzy way tends to be more realistic and provides with more information in area of decisionmaking. Fuzzy patterns recognition is a technology based fuzzy sets. The packets on the network can be divided into some fuzzy sets. A schema of intrusion detection and defending based fuzzy patterns recognition is proposed.The model has two fuzzy sets (normal packets and abnormal packets), and filtering the abnormal packets by analyzing the fuzzy similarity of normal set and abnormal set. The schema is self-adaptive and self-learning.

关键词： DDoS fuzzy similarity fuzzy sets patterns recognition

作者: PENG Tao JIANG Minghua

作者单位: College of Computer Science of Wuhan University of Science and engineering Wuhan, Hubei province 430073, China

会议类型: 国际会议

会议名称: 第二届国际计算机新科技与教育学术会议(Proceedings of the Second International Conference on Computer Science & Education ICCSE2007)

会议地点: 武汉

会议语种:英文

页码: 1332-1335

在线出版日期: 2007-07-25（万方平台首次上网日期，不代表论文的发表时间）