摘要
入侵检测在计算机安全系统中发挥着越来越重要的作用,目前入侵检测使用的规则集还是注意依赖于专家分析提取,由于入侵检测系统中数据量很大,使用人工分析的代价是昂贵的.用数据挖掘技术分析网络数据进行入侵检测,可以有效的减少人工分析的工作量,但数据挖掘技术应用到入侵检测中存在着一些问题,特别是挖掘效率的问题,该文提出了使用数据过滤和增量挖掘技术来提高挖掘的效率.
ion:Intrusion detection plays a more and more important role in computer security.In conventional way,experts analyze data collected by intrusion detection system and abstract rule sets.Manual analysis is quite expensive because of enormous amount of data.Applying data mining technique in intrusion detection can reduce workload of manual analysis.However data mining technique also has some problems,such as efficiency and accuracy.This article proposes data filter and incremental mining to enhance the efficiency of data mining intrusion detection system.
出处
《赣南师范学院学报》
2003年第6期52-55,共4页
Journal of Gannan Teachers' College(Social Science(2))
关键词
入侵检测
数据挖掘
增量挖掘
intrusion detection
data mining
increased Mining
