中文摘要：

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.

英文摘要：

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.