@inproceedings{a2dd5c13c87341de8fa97f065bbc42ad,
title = "An improving Tabu search algorithm for intrusion detection",
abstract = "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.",
keywords = "Feature relevance, Feature selection, Intrusion detection, Tabu search",
author = "Wu, {Jian Guang} and Ran Tao and Li, {Zhi Yong}",
year = "2011",
doi = "10.1109/ICMTMA.2011.110",
language = "English",
isbn = "9780769542966",
series = "Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011",
pages = "435--439",
booktitle = "Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011",
note = "3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011 ; Conference date: 06-01-2011 Through 07-01-2011",
}