摘要
将关联规则算法与序列模式算法应用于入侵检测系统中,介绍了将扩展的关联规则Apriori算法与序列模式GSP算法相结合,挖掘原始审计数据中频繁模式的过程,并实现了这两种算法在入侵检测中的应用。
The purpose of the data mining is to find out the relativity from a large number of data. The application of the association rules algorithm and the sequence patterns algorithm to IDS is presented and the process of mining frequency patterns from the raw audit data with the extended apriori association rules and the GSP sequence patterns algorithm combined is introduced. Finally the application is realized.
出处
《成都信息工程学院学报》
2004年第1期1-6,共6页
Journal of Chengdu University of Information Technology
基金
国家863课题研究成果(2001A142030)
关键词
关联规则
序列模式
频繁模式
入侵检测
association rule
sequence pattern
frequency pattern
intrusion detection
