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An Ontology-Based Network Intrusion Detection System: A User-Oriented Approach

机译:基于本体的网络入侵检测系统:一种面向用户的方法

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摘要

In this paper, a new approach is suggested for designing and developing an intrusion detection application where the domain expertise is used for generating it more easily. This approach uses ontologies as a way of grasping the knowledge of a domain, expressing the intrusion detection system much more in terms of the end users domain, generating the intrusion detection more easily and performing intelligent reasoning. Experimental results show that our anomaly detection techniques are very promising and are successful in automatically detecting intrusions at very low false alarm rate compared with several important traditional classification techniques.
机译:在本文中,提出了一种用于设计和开发入侵检测应用程序的新方法,其中使用领域专业知识可以更轻松地生成它。这种方法使用本体作为一种掌握领域知识的方式,从最终用户领域的角度来更多地表达入侵检测系统,更轻松地生成入侵检测并执行智能推理。实验结果表明,与几种重要的传统分类技术相比,我们的异常检测技术非常有前途,并且能够以非常低的误报率自动检测到入侵。

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