基于Snort的入侵检测系统的研究与改进
    点此下载全文
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,(3):117-119
摘要点击次数: 1420
全文下载次数: 129
作者单位
任颖,李华伟,王丽娜 (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) 
中文摘要: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。
中文关键词:入侵检测  Snort  模式匹配
 
Research on Instrution Detection System Based on Snort and its Improvement
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
查看全文   查看/发表评论   下载pdf阅读器