Intrusion Detection Method based on Frequent Pattern

被引：0

作者：

Yu, Jie ^{[1
]}

Yao, GuoXiang ^{[1
]}

Zhang, WeiWei ^{[1
]}

机构：

[1] Jinan Univ, Coll Informat Technol, Dept Comp Sci, Guangzhou, Guangdong, Peoples R China

来源：

ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEMS AND MATERIAL ENGINEERING, PTS 1-7 | 2011年 / 204-210卷

关键词：

Intrusion Detection; Frequent Pattern; Association Rules; Data Mining;

D O I：

10.4028/www.scientific.net/AMR.204-210.1751

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As the surging development of the information technology, Intrusion Detection System has been devised for the safety of computer network. This paper focuses on the method of frequent pattern based intrusion detection. A new formula measuring the normal degree of a transaction is presented. We propose a new algorithm to calculate each transaction's normal degree as well as detect intrusions. Experiment results show that the proposed algorithm is competent in detecting intrusions with high detection rate and relatively low false positive rate.

引用

页码：1751 / 1754

页数：4

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