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False alarm minimization techniques in signature-based intrusion detection systems: A survey

机译:基于签名的入侵检测系统中的虚假警报最小化技术:一项调查

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摘要

A network based Intrusion Detection System (IDS) gathers and analyzes network packets and report possible low level security violations to a system administrator. In a large network setup, these low level and partial reports become unmanageable to the administrator resulting in some unattended events. Further it is known that state of the art IDS generate many false alarms. There are techniques proposed in IDS literature to minimize false alarms, many of which are widely used in practice in commercial Security Information and Event Management (SIEM) tools. In this paper, we review existing false alarm minimization techniques in signature-based Network Intrusion Detection System (NIDS). We give a taxonomy of false alarm minimization techniques in signature-based IDS and present the pros and cons of each class. We also study few of the prominent commercial SIEM tools which have implemented these techniques along with their performance. Finally, we conclude with some directions to the future research.
机译:基于网络的入侵检测系统(IDS)收集并分析网络数据包,并向系统管理员报告可能的低级安全违规情况。在大型网络设置中,这些低级和部分报告对于管理员来说变得不可管理,从而导致一些无人值守的事件。进一步已知的是,现有技术的IDS会产生许多错误警报。 IDS文献中提出了一些技术来最小化虚假警报,其中许多已在实践中广泛用于商业安全信息和事件管理(SIEM)工具中。在本文中,我们回顾了基于签名的网络入侵检测系统(NIDS)中现有的虚假警报最小化技术。我们在基于签名的IDS中提供了错误警报最小化技术的分类法,并介绍了每个类的优缺点。我们还研究了很少有实现这些技术及其性能的著名商业SIEM工具。最后,我们总结了未来研究的方向。

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