STUDY ON NETWORK INTRUSION DETECTION BASED ON IMPROVED APRIORI ALGORITHM

摘要：

Association rule mining can effectively improve the performance of intrusion detection system, and generating frequent item-sets is a critical step in association rule mining.Through the research on Apriori algorithm,I propose an algorithm based on set and bit operation for mining frequent item-sets, and use digital view to express the transaction which used each item,use bit operating in digital view to calculate the number of the support of each item-set, and then avoid the problem of repeatedly scanning the database in Apriori algorithm.Experiments show that the algorithm has good performance in network intrusion detection.

关键词： Intrusion Detection Association Ruel Apriori Frequent Item-sets Data Mining

作者: Nini Yang

作者单位: Liaoning Shihua University,Fushun 113001,P.R.China

会议类型: 国际会议

会议名称: 2009 International Symposium on Computer Science and Technology(2009 中国宁波国际计算机科学与技术学术大会)

会议地点: 宁波

会议语种:英文

页码: 372-374

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）