一种基于混合差别矩阵的属性约简算法及其在入侵检测中的应用

An Algorithm for Attribute Reduction in Rough Set and its Application in Intrusion Detection

针对入侵检测问题,提出了构造混合辨别矩阵的方法,并用C4.5分类器测试选择子集的有效性.实验表明分类器在新算法得到的特征子集上有较好的分类效果.

A novel rough set-based method followed by establishing a mix discernibility matrix is introduced for intrusion detection, and choose C4. 5 algorithm for testing the effectiveness of selected attribute subsets. Experimental results show that the classifiers developed using the selected attribute subsets have better performance than those generated by all attributes.