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入侵检测中的数据预处理问题研究
Study on the Data Preprocessing in Intrusion Detection
【摘要】 本文重点讨论入侵检测中的数据预处理问题。针对数据预处理的主要内容,给出了聚类要素的格式化处理方法,并将数据约简和规则提取结合到一起,提出了一种基于粗糙聚类方法的入侵检测预处理聚类器。最后用同一个入侵检测系统对预处理后与预处理前的检测结果进行了对比,结果表明该聚类器可有效提高入侵检测的效果。
【Abstract】 In this paper,the problem of data preprocessing in Intrusion Detection is mainly discussed.A network secu- rity solution including data preproeessing sub-system is proposed with explaining its tasks.The method of formatting clustering elements is also given.Then an intrusion detection preprocessing algorithm based on Rough Clustering meth- od is presented with its implementation steps.In the end,a comparison between preprocessing and non-preprocessing is done to show that the algorithm is effective through running the same Intrusion Detection System.
【关键词】 入侵检测;
数据预处理;
子系统;
粗糙聚类;
算法;
【Key words】 Intrusion detect; Data preprocessing; Sub-system; Rough clustering; Algorithm;
【Key words】 Intrusion detect; Data preprocessing; Sub-system; Rough clustering; Algorithm;
- 【文献出处】 计算机科学 ,Computer Science , 编辑部邮箱 ,2006年01期
- 【分类号】TP393.08
- 【被引频次】27
- 【下载频次】226