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基于规则库优化算法的网络入侵检测系统研究与应用
引用本文:石夫乾,林征,徐江. 基于规则库优化算法的网络入侵检测系统研究与应用[J]. 计算机应用与软件, 2007, 24(12): 202-204
作者姓名:石夫乾  林征  徐江
作者单位:[1]温州医学院,浙江温州325000 [2]浙江大学现代工业设计研究所,浙江杭州310027
摘    要:为克服通用入侵检测框架模型(GIDF)及其各组成部分在设计和实现中存在的弱点,在对一个开放性入侵检测系统软件Snort进行分析的基础上,提出增加宽度搜索与动态选项链表相结合的规则匹配操作优化算法;实验表明,改进后的系统通过增加宽度搜索提高了选项匹配的并行性;通过采用动态选项链表优化了规则匹配的顺序,缩短了深度搜索的深度,从而从整体上切实提高了Snort的检测速度.

关 键 词:基于网络的入侵检测系统  规则匹配  动态选项链表  规则库  优化算法  网络入侵  检测系统  研究  应用  OPTIMIZATION ALGORITHM  BASED  INTRUSION DETECTION SYSTEM  APPLICATION  检测速度  深度搜索  链表  并行  规则匹配  改进  实验  操作  结合  表相
修稿时间:2006-09-27

STUDY AND APPLICATION OF INTRUSION DETECTION SYSTEM BASED ON RULE-BASE OPTIMIZATION ALGORITHM
Shi Fuqian,Lin Zheng,Xu Jiang. STUDY AND APPLICATION OF INTRUSION DETECTION SYSTEM BASED ON RULE-BASE OPTIMIZATION ALGORITHM[J]. Computer Applications and Software, 2007, 24(12): 202-204
Authors:Shi Fuqian  Lin Zheng  Xu Jiang
Abstract:To.overcome the weakness of the generic intrusion detection framework(GIDF)and its various components in design and implementation,a rule-base optimization algorithm is proposed based on the analysis of the open-system Snort.Experiments show that the paralleliz-ability of option matching is improved by adding the width-searching,and the depth of rule matching is shortened by adjusting dynamically the sequence of rules.Thus,the overall performance of Snort is enhanced effectively.
Keywords:Network-based intrusion detection system Rule matching Dynamic option list
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