| 基于KNN算法及禁忌搜索算法的特征选择方法在入侵检测中的应用研究 |
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| 引用本文： | 张昊,陶然,李志勇,蔡镇河. 基于KNN算法及禁忌搜索算法的特征选择方法在入侵检测中的应用研究[J]. 电子学报, 2009, 37(7): 1628-1632 |
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| 作者姓名： | 张昊 陶然 李志勇 蔡镇河 |
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| 作者单位： | 北京理工大学信息科学技术学院,北京,100081;北京理工大学信息科学技术学院,北京,100081;北京理工大学信息科学技术学院,北京,100081;北京理工大学信息科学技术学院,北京,100081 |
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| 基金项目： | 国防基础科研项目(No.C1120060497-06) |
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| 摘 要： | 在入侵检测中应用特征选择能够在保持原有信息完整性的基础上,去除其中的冗余特征,有效地提高入侵检测系统的检测速度.本文提出了一种新的特征选择方法,即基于KNN算法及禁忌搜索算法的特征选择方法.实验结果表明该特征选择方法能够有效去除网络数据信息中的冗余特征,减少特征选择时间;并且能够在保证检测准确率的前提下,有效提高系统的检测速度.
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| 关 键 词： | 入侵检测 特征选择 特征关联性 禁忌搜索 |
| 收稿时间： | 2008-03-10 |
A Research and Application of Feature Selection Based on KNN and Tabu Search Algorithm in the Intrusion Detection |
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| ZHANG Hao,TAO Ran,LI Zhi-yong,CAI Zhen-he. A Research and Application of Feature Selection Based on KNN and Tabu Search Algorithm in the Intrusion Detection[J]. Acta Electronica Sinica, 2009, 37(7): 1628-1632 |
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| Authors: | ZHANG Hao TAO Ran LI Zhi-yong CAI Zhen-he |
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| Affiliation: | School of Information Technology;Beijing Institute of Technology;Beijing 100081;China |
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| Abstract: | Utilizing the feature selection in the intrusion detection can delete the redundant features on the base of protecting the integrity of original data and improve the detection speed of the system efficiently.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 can guarantee the correct rate of detection but also improve the ... |
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| Keywords: | intrusion detection feature selection feature relevance Tabu search |
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