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Snort下模式串匹配算法的研究与改进
引用本文:李海芳,王喜聪,陈俊杰,赵月爱.Snort下模式串匹配算法的研究与改进[J].太原理工大学学报,2010,41(3).
作者姓名:李海芳  王喜聪  陈俊杰  赵月爱
作者单位:太原理工大学,计算机与软件学院,太原,030024
基金项目:国家自然科学基金,山西省国际科技合作项目 
摘    要:在阐述入侵检测技术研究现状的基础上,通过对入侵检测系统snort下BM和Wu-Manber两个模式匹配算法的研究,然后对其分别改进,并进行实验验证,实验结果表明使用改进的算法提高了匹配效率,减少了存储需求,从而进一步提高了入侵检测系统的检测性能。

关 键 词:入侵检测  BM算法  Wu-Manber算法

Research and Improvement about Pattern String Matching Algorithm under Snort
LI Hai-fang,WANG Xi-cong,CHEN Jun-jie,ZHAO Yue-ai.Research and Improvement about Pattern String Matching Algorithm under Snort[J].Journal of Taiyuan University of Technology,2010,41(3).
Authors:LI Hai-fang  WANG Xi-cong  CHEN Jun-jie  ZHAO Yue-ai
Institution:LI Hai-fang,WANG Xi-cong,CHEN Jun-jie,ZHAO Yue-ai(College of Computer Science & Software Engineering of TUT,Taiyuan 030024,China)
Abstract:On the basis of the current research situation of intrusion detection technology of network security,this paper studied BM and Wu-Manber pattern matching algorithm,and then were made on these algorithms improvements respectively through experimental verification.The experimental results show that the improved algorithm can raise matching efficiency,reduce system survival storage requirements thus improve detection performance.
Keywords:Snort
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