摘要
Utilizing feature selection in intrusion detection can remove redundant features and improve the speed of the intrusion detection system efficiently on the basis of protecting the integrity of the original data. This paper proposes a new feature selection method that is based on KNN and Tabu search algorithm. The experiment result shows that this method can remove the redundant features, and reduce the time of feature selection. This method not only guarantees the accuracy of detection but also improves the detection speed efficiently.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011 |
| 页 | 435-439 |
| 页数 | 5 |
| DOI | |
| 出版状态 | 已出版 - 2011 |
| 活动 | 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011 - Shanghai, 中国 期限: 6 1月 2011 → 7 1月 2011 |
出版系列
| 姓名 | Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011 |
|---|---|
| 卷 | 1 |
会议
| 会议 | 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Shanghai |
| 时期 | 6/01/11 → 7/01/11 |
指纹
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Wu, J. G., Tao, R., & Li, Z. Y. (2011). An improving Tabu search algorithm for intrusion detection. 在 Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011 (页码 435-439). 文章 5720813 (Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011; 卷 1). https://doi.org/10.1109/ICMTMA.2011.110