Fusions of GA and SVM for Anomaly Detection in Intrusion Detection System-Reference-Cited by-同舟云学术

Fusions of GA and SVM for Anomaly Detection in Intrusion Detection System

Published:2005 Issue: Volume: Page:415-420
ISSN:0302-9743
Container-title:Advances in Neural Networks – ISNN 2005
language:
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Author:

Kim Dong Seong,Nguyen Ha-Nam,Ohn Syng-Yup,Park Jong Sou

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11427469_67.pdf

Reference16 articles.

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3. Frohlich, H., et al.: Feature Selection for Support Vector Machines by Means of Genetic Algorithm. Tools with Artificial Intelligence, 142–148 (2003)

4. Lecture Notes in Computer Science;M. Fugate,2002

5. Hu, W., et al.: Robust Support Vector Machines for Anomaly Detection in Computer Security. In: Proc. of Int. Conf. on Machine Learning and Applications 2003, pp. 168–174. CSREA Press (2003)

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