计算机工程与科学2011，Vol.33Issue(4)：40-44,5.DOI:10.3969.j.issn.1007-130X.2011.04.008
基于改进Apriori算法的入侵检测系统研究
Research on an Intrusion Detection System Based on the Improved Apriori Algorithm
摘要
Abstract
On the basis of a deep research and analysis of the Apriori algorithm in association rule mining,some shortages of the algorithm are discovered. The strategy of the join step,the prune step and the method of dealing with the transaction database is improved, which improves the efficiency of the Apriori algorithm both in time and space. An intrusion detection method based on the improved algorithm is proposed. The rule library of the system can be updated automatically. The security and the dependability of the system can be greatly improved. The experimental results of the improved algorithm show that the method improves the production efficiency of frequent item sets and the knowledge rule library.关键词
关联规则/Apriori/频繁项集/候选项集/入侵检测Key words
association rule / apriori / frequent itemset / candidate itemset / intrusion detection分类
信息技术与安全科学引用本文复制引用
崔贯勋,李梁,王柯柯,倪伟,苟光磊..基于改进Apriori算法的入侵检测系统研究[J].计算机工程与科学,2011,33(4):40-44,5.基金项目
重庆市科技攻关计划项目(CSTC2008AC2126,CSTC2009AC2034) （CSTC2008AC2126,CSTC2009AC2034）
重庆理工大学科研青年基金项目(2010ZQ22) （2010ZQ22）
