Data mining Contribution to Intrusion Detection Systems Improvement

Abdelkader Khobzaoui, M. Benhamouda, Mahmoud Fahsi
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引用次数: 1

Abstract

Intrusion detection has become one of the most prominent components in computer security field. In order to improve intrusion detection systems performances, Data mining techniques have been massively used. Actually, the massive integration of data mining technique in intrusion detection has quickly emerged due to the fact that intrusion detection task is a classification problem by nature and Data mining provides tools to discover consistent and useful patterns of system features that describe program and user behavior, and use the set of relevant system features to build classifiers able to recognize abnormal or suspicious activities. In this paper, we will stress the role of the data mining in intrusion detection systems development and promotion.
数据挖掘对入侵检测系统改进的贡献
入侵检测已成为计算机安全领域的重要组成部分之一。为了提高入侵检测系统的性能,数据挖掘技术被大量应用。实际上,由于入侵检测任务本质上是一个分类问题,数据挖掘提供了工具来发现描述程序和用户行为的系统特征的一致和有用的模式,并使用相关的系统特征集来构建能够识别异常或可疑活动的分类器,因此数据挖掘技术在入侵检测中的大规模集成已经迅速出现。在本文中,我们将重点讨论数据挖掘在入侵检测系统开发和推广中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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