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基于Snort的入侵检测系统的研究与改进

任颖 李华伟 王丽娜

计算技术与自动化2012,Vol.31Issue(3):117-119,3.
计算技术与自动化2012,Vol.31Issue(3):117-119,3.

基于Snort的入侵检测系统的研究与改进

Research on Instrution Detection System Based on Snort and its Improvement

任颖 1李华伟 1王丽娜2

作者信息

  • 1. 海军航空工程学院,山东烟台264000
  • 2. 山东商务职业学院,山东烟台 264000
  • 折叠

摘要

Abstract

Intrusion detection technology is an active safety technology to protect network resources from hacker attacks, and can make up for the lack of a firewall to help the network to quickly find the occurrence of cyber attacks, and plasys an active defense role, to provide real-time instrusion detection for network security and take appropriate protective measures. This paper to improve the performance of Snort core technology undertook an analysis, put forward a kind of can effective improve the matching efficiency of AC-WM pattern matching algorithm, and the improved Snort system was tested, significantly improve the performance of system .

关键词

入侵检测/Snort/模式匹配

Key words

instrusion detection/ Snort/ pattern matching

分类

信息技术与安全科学

引用本文复制引用

任颖,李华伟,王丽娜..基于Snort的入侵检测系统的研究与改进[J].计算技术与自动化,2012,31(3):117-119,3.

计算技术与自动化

OACSTPCD

1003-6199

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