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序列模式挖掘在入侵检测中的应用研究

李亮

计算机工程与科学2012,Vol.34Issue(11):68-71,4.
计算机工程与科学2012,Vol.34Issue(11):68-71,4.DOI:10.3969/j.issn.1007-130X.2012.11.012

序列模式挖掘在入侵检测中的应用研究

Research on Sequential Pattern Mining in Intrusion Detection System

李亮1

作者信息

  • 1. 宿迁学院网络中心,江苏宿迁223800
  • 折叠

摘要

Abstract

The Intrusion Detection System (IDS, Intrusion Detection System) is an important component of the computer security architecture. With the increasing data flow of network, the intrusion detection system that is combined with the data mining has become a research hotspot. An improved PrefixSpan algorithm based on time constraints and attribute-relative is developed to fit into the network audit data of computer intrusion detection. The experiment of dealing with a computer network audit database gives the application and result analysis of the algorithm.

关键词

入侵检测/数据挖掘/序列模式/PrefixSpan算法

Key words

intrusion detection/data mining/sequential pattern/ Prefixspan algorithm

分类

信息技术与安全科学

引用本文复制引用

李亮..序列模式挖掘在入侵检测中的应用研究[J].计算机工程与科学,2012,34(11):68-71,4.

计算机工程与科学

OA北大核心CSCDCSTPCD

1007-130X

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