| 基于Snort的模式匹配算法研究 |
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| 引用本文： | 刘影,张维勇.基于Snort的模式匹配算法研究[J].数字社区&智能家居,2009(3). |
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| 作者姓名： | 刘影 张维勇 |
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| 作者单位： | 合肥工业大学计算机与信息学院;安徽电子信息职业技术学院软件学院; |
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| 摘 要： | 随着网络的迅速发展,网络安全问题日益突出,入侵检测技术的应用越来越广泛,对Snort入侵检测系统来说,模式匹配算法仍是其使用最多的基本算法,模式匹配算法的效率直接影响到入侵检测系统的性能。该文介绍了KMP和BM算法,并对其进行了比较,并对BM算法的进行了改进,提高了模式匹配的速度。
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| 关 键 词： | 入侵检测技术 KMP算法 BM算法 |
Research of the Pattern-matching Algorithm Based on Snort |
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| LIU Ying,ZHANG Wei-yong.Research of the Pattern-matching Algorithm Based on Snort[J].Digital Community & Smart Home,2009(3). |
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| Authors: | LIU Ying ZHANG Wei-yong |
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| Affiliation: | 1.School of Computer & Information;Heifei University of Technology;Heifei 230009;China;2.Software College;Anhui Vocational College of Electronics & Information;Bengbu 233000;China |
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| Abstract: | With the rapid development of the network,Network Security is becoming increasingly prominent,and Intrusion Detection technology more widely.The Snort Intrusion Detection System,the pattern-matching algorithms is still using its most basic algorithm,the effi- ciency of the pattern-matching algorithms have a direct impact to the intrusion detection system performance.The KMP and BM algorithms are introduced in this paper.Research is carried out to improve the BM algorithm and a better BM algorithm is propose... |
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