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A Compound Intrusion Detection Model

机译:复合入侵检测模型

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Intrusion detection systems (IDSs) have become a critical part of security systems. The goal of an intrusion detection system is to identify intrusion effectively and accurately. However, the performance of misuse intrusion detection system (MIDS) or anomaly intrusion detection system (AIDS) is not satisfying. In this paper, we study the issue of building a compound intrusion detection model, which has the merits of MIDS and AIDS. To build this compound model, we propose an improved Bayesian decision theorem. The improved Bayesian decision theorem brings some profits to this model: to eliminate the flaws of a narrow definition for intrusion patterns, to extend the known intrusions patterns to novel intrusions patterns, to reduce risks that detecting intrusion brings to system and to offer a method to build a compound intrusion detection model that integrates MIDS with AIDS.
机译:入侵检测系统(IDS)已成为安全系统的关键部分。入侵检测系统的目标是有效,准确地识别入侵。但是,滥用入侵检测系统(MIDS)或异常入侵检测系统(AIDS)的性能不能令人满意。在本文中,我们研究了建立具有MIDS和AIDS优点的复合入侵检测模型的问题。为了构建该复合模型,我们提出了一种改进的贝叶斯决策定理。改进的贝叶斯决策定理为该模型带来了一些好处:消除了入侵模式定义狭窄的缺陷,将已知的入侵模式扩展到新颖的入侵模式,减少了检测到入侵带给系统的风险,并提供了一种方法来建立将MIDS与AIDS整合在一起的复合入侵检测模型。

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