摘要
The performance of a detection method is degraded by the high dimensional data containing irrelevant and redundant attributes. A new hybrid attribute selection method integrating filter and wrapper methods is proposed. Filter method based on mutual information is firstly used to remove irrelevant attributes. Wrapper method based on improved adaptive genetic algorithm and improved evaluation function is used to select optimal attribute subset. Applications in intrusion detection showed that this approach can reduce the time of attribute selection and has better performance in terms of true positive rate and false positive rate than other methods.
| 源语言 | 英语 |
|---|---|
| 页（从-至） | 218-221 |
| 页数 | 4 |
| 期刊 | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| 卷 | 28 |
| 期 | 3 |
| 出版状态 | 已出版 - 3月 2008 |
指纹
探究 'New hybrid attribute selection method and its application in intrusion detection' 的科研主题。它们共同构成独一无二的指纹。引用此
Mao, L. M., Yao, S. P., & Hu, C. Z. (2008). New hybrid attribute selection method and its application in intrusion detection. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 28(3), 218-221.