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基于并行关联规则挖掘算法的入侵检测系统的研究
引用本文:贾丽洁,刘培玉. 基于并行关联规则挖掘算法的入侵检测系统的研究[J]. 信息技术与信息化, 2005, 0(6): 35-37
作者姓名:贾丽洁  刘培玉
作者单位:山东师范大学信息管理学院,济南,250014
摘    要:数据挖掘技术已经在入侵检测当中得到应用。为了进一步提高效率。提出将井行关联规则应用到入侵检测的挖掘中,以提高入侵检测的效率。本文提出一个新的分布式的入侵检测系统结构,重点介绍了井行关联规则挖掘算法如何应用于此系统.及其应用于此系统之后的优点。

关 键 词:入侵检测 关联规则 并行算法

The Parallel Association Rule Mining Algorithm in Network Intrusion Detection
JIA Li-jie,LIU Pei-yu. The Parallel Association Rule Mining Algorithm in Network Intrusion Detection[J]. Information Technology & Informatization, 2005, 0(6): 35-37
Authors:JIA Li-jie  LIU Pei-yu
Affiliation:JIA Li-jie LIU Pei-yu
Abstract:Data mining methods have been used in intrusion detection systems. In order to improve efficiency of traditional IDS, we adopt parallel association rule mining algorithm into our distributed detection system. This paper presents a new architecture of distributed network intrusion detection system, and mainly introduced the parallel association rule mining algorithm used in the system. Finally, the advantages of this scheme are also discussed.
Keywords:Intrusion detection Association rules Parallel algorithm
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