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基于Snort的入侵检测系统的研究与改进
引用本文: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.
作者姓名:任颖  李华伟  王丽娜
作者单位:1. 海军航空工程学院,山东烟台,264000
2. 海军航空工程学院,山东烟台264000;山东商务职业学院,山东烟台 264000
摘    要:入侵检测技术是一种主动保护网络资源免受黑客攻击的安全技术。可以弥补防火墙的不足,帮助网络快速发现网络攻击的发生,起着主动防御的作用,为网络安全提供实时的入侵检测及采取相应的防护手段。本文对提高Snort性能的核心技术进行分析,提出一种能够有效提高匹配效率的AC—wM的模式匹配算法,并对改进后的Snort系统进行测试,显著提高了系统的性能。

关 键 词:入侵检测  Snort  模式匹配

Research on Instrution Detection System Based on Snort and its Improvement
REN Ying,LI Hua-wei,WANG Li-na.Research on Instrution Detection System Based on Snort and its Improvement[J].Computing Technology and Automation,2012,31(3):117-119.
Authors:REN Ying  LI Hua-wei  WANG Li-na
Affiliation:1(1.Naval Aeronautical and Astronautical University,Yantai 264000,China; 2.Shan dong Businss Institute,Shandong Yantai 264001,China)
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.
Keywords:instrusion detection  Snort  pattern matching
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