摘要
详细论述了在入侵检测系统中数据挖掘技术的应用,对现有的应用于入侵检测的数据挖掘技术如关联规则、聚类分析、特征分类等进行了分析和综合。结合元挖掘等新概念,本文给出了一个应用数据挖掘技术的入侵检测系统IDSDM框架。该框架具有良好的智能性和自适应性。
This paper discusses the applications of data mining techniques in intrusion detection system,analyzes some of the techniques such as association rules,feature classification and clustering,which are employed for intrusion detection.Based on several nes concepts like metamining,the paper establishes an intrusion detection system frameword IDSDM using data mining techniques.The framework has good adaptability to the environment.
出处
《工业工程》
2003年第3期36-39,共4页
Industrial Engineering Journal
基金
国家自然科学基金资助(60004004
E5303220)
广东省自然科学基金资助(990584)
