A Study on an Improved Algorithm of Generative Detector Based on Intrusion Detection System of Artificial Immune

摘要：

In the intrusion detection system based on artificial immune, the detector is characterized as a regular set. The present study provides an algorithmic approach to refine an immature detection algorithm by using K average cluster. By applying a mature detector and a memory detector in accordance with Fuzzy Logic( FL), this study analyzes the intrusion behavior to prove the validity of improved algorithm.

关键词： detector K average clustering algorithm fuzzy theory

作者: Yue Jiang Yi Ting Jiang You Ming Xia

作者单位: Vocational and Technical College Yunnan University of Finance and Economics Kunming, China School of Information Yunnan Normal University Kunming, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

会议地点: 成都

会议语种:英文

页码: 1793-1796

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）