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粗糙集理论在入侵检测中的应用研究 被引量:1

Discuss on application of rough set theory in intrusion detection
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摘要 入侵检测系统是目前安全领域较新课题,是动态安全领域的核心,但目前仍然存在很多问题,特别是具有自适应能力、能自我学习的入侵检测系统还不完善。针对这些问题,本文提出了一种基于粗糙集理论的入侵检测系统的方法。 Intrusion Detection System, new domain of Network Security, is a core research area in dynamic Information Security, but it still has many problems, especially in self-completing and self-learning. To solve these problems, this thesis proposed a new model for the intrusion detection system that based on the data mining.
作者 王一萍
出处 《齐齐哈尔大学学报(自然科学版)》 2005年第1期34-38,共5页 Journal of Qiqihar University(Natural Science Edition)
关键词 粗糙集 数据挖掘 决策系统 属性约简 rough sets data mining decision systems attribute reduction
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