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首页> 外文期刊>International Journal of Engineering and Technology >A Pattern Matching Algorithm for Reducing False Positive in Signature Based Intrusion Detection System
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A Pattern Matching Algorithm for Reducing False Positive in Signature Based Intrusion Detection System

机译：一种基于签名的入侵检测系统减少误报的模式匹配算法

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摘要

Nowadays the organizations are facing the number of threats every day in the form of viruses and attack etc. Since many different mechanisms were preferred by organizations in the form of intrusion detection and prevention system to protect its organizations from these kinds of attacks. Intrusion Detection System (IDS) is considered as a system integrated with intelligent subsystems. In this paper the signature based intrusion detection system is discussed. There are different pattern matching algorithms available to detect intrusion. Brute force and Knuth-Morris-Pratt are the single keyword pattern matching algorithms. If one or more occurrence of pattern present in the input text, then there is an intrusion and the intrusion alarm will be sent. The occurrence of false alarm will be high in intrusion detection. In this paper the string matching algorithm to reduce the percentage of false alarm will be discussed.
机译：如今，组织每天都面临着以病毒和攻击等形式存在的威胁。由于组织倾向于采用多种不同的机制，以入侵检测和防御系统的形式来保护组织免受此类攻击。入侵检测系统（IDS）被认为是与智能子系统集成的系统。本文讨论了基于签名的入侵检测系统。有多种模式匹配算法可用于检测入侵。蛮力和Knuth-Morris-Pratt是单关键字模式匹配算法。如果输入文本中出现一种或多种模式，则表示存在入侵，并且将发送入侵警报。错误警报的发生将在入侵检测中占很高的比重。本文将讨论减少误报警百分比的字符串匹配算法。

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