一种高效的字符串匹配入侵检测算法

IF 1.4 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Computational Science and Engineering Pub Date : 2015-01-30 DOI:10.26472/IJCES.V1I1.17
Bhargav B. Patel
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引用次数: 2

摘要

入侵检测系统(ids)作为识别、阻止和转移网络恶意攻击的强大工具已被广泛认可。入侵检测系统(ids)的设计和安装是为了帮助阻止或减轻黑客攻击或闯入敏感的IT系统所造成的损害。攻击可能来自Internet上的外部攻击者、滥用授予他们的特权的授权内部人员以及试图获得未授权特权的未授权内部人员。不能孤立地使用入侵防御系统,而必须作为更大的IT安全措施框架的一部分。几乎每个入侵检测系统都必须能够搜索数据包并识别与已知攻击相匹配的内容。因此,空间和时间有效的字符串匹配算法对于以线速率识别这些数据包非常重要。本文研究了字符串匹配算法及其在入侵检测中的应用。
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Efficient String Matching Algorithm for Intrusion Detection
Intrusion Detection Systems (IDSs) have become widely recognized as powerful tools for identifying, deterring and deflecting malicious attacks over the network. Intrusion detection systems (IDSs) are designed and installed to aid in deterring or mitigating the damage that can be caused by hacking, or breaking into sensitive IT systems. . The attacks can come from outsider attackers on the Internet, authorized insiders who misuse the privileges that have been given them and unauthorized insiders who attempt to gain unauthorized privileges. IDSs cannot be used in isolation, but must be part of a larger framework of IT security measures. Essential to almost every intrusion detection system is the ability to search through packets and identify content that matches known attacks. Space and time efficient string matching algorithms are therefore important for identifying these packets at line rate. In this paper we examine string matching algorithm and their use for Intrusion Detection.
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来源期刊
International Journal of Computational Science and Engineering
International Journal of Computational Science and Engineering COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.00
自引率
40.00%
发文量
73
期刊介绍: Computational science and engineering is an emerging and promising discipline in shaping future research and development activities in both academia and industry, in fields ranging from engineering, science, finance, and economics, to arts and humanities. New challenges arise in the modelling of complex systems, sophisticated algorithms, advanced scientific and engineering computing and associated (multidisciplinary) problem-solving environments. Because the solution of large and complex problems must cope with tight timing schedules, powerful algorithms and computational techniques, are inevitable. IJCSE addresses the state of the art of all aspects of computational science and engineering with emphasis on computational methods and techniques for science and engineering applications.
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