A WEB INTRUSION DETECTION SYSTEM BASED ON ANOMALY GENERALIZATION MECHANISM

摘要：

The present study put forward an anomaly-based web intrusion detection system.The web intrusion detection system analyzes the parameters sent to the web server,infers the type of each parameter and combines different techniques to detect attacks.An anomaly generalization mechanism is used,which derives a generalized representation of the anomalies detected by a learning-based intrusion detection system.This system has been implemented and evaluated experimentally on real-world data; the practical results show the presented method is feasible and effective.

关键词： Web Intrusion Detection System Anomaly Detection Anomaly Generalization

作者: Hualin Ma

作者单位: Zhejiang Business Technology Institute,Ningbo 315012,P.R.China

会议类型: 国际会议

会议名称: 2009 International Symposium on Computer Science and Technology(2009 中国宁波国际计算机科学与技术学术大会)

会议地点: 宁波

会议语种:英文

页码: 143-146

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）