A feature selection algorithm design and its implementation in intrusion detection system
- Author:
Xiangrong YANG
1
Author Information
1. Dept. of Comp. Sci. and Technology
- Publication Type:Journal Article
- From:Academic Journal of Xi'an Jiaotong University
2003;15(2):134-138
- CountryChina
- Language:Chinese
-
Abstract:
Objective: Present a new features selection algorithm. Methods: based on rule induction and field knowledge. Results: This algorithm can be applied in catching dataflow when detecting network intrusions, only the sub-dataset including discriminating features is catched. Then the time spend in following behavior patterns mining is reduced and the patterns mined are more precise. Conclusion: The experiment results show that the feature subset catched by this algorithm is more informative and the dataset's quantity is reduced significantly.
