Network-Based Intrusion Detection with Support Vector Machines-Reference-Cited by-同舟云学术

Network-Based Intrusion Detection with Support Vector Machines

Published:2003 Issue: Volume: Page:747-756
ISSN:0302-9743
Container-title:Information Networking
language:
Short-container-title:

Author:

Kim Dong Seong,Park Jong Sou

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-45235-5_73

Reference20 articles.

1. Anderson, J.P.: Computer Security Threat Monitoring and Surveillance, James P Anderson Co., Technical report, Fort Washington, Pennsylvania (April 1980)

2. Denning, D.E.: An Intrusion Detection Model. IEEE Trans. S.E. (1987)

3. Vapnik, V.: The Nature of Statistical Learning Theory. Springer, Heidelberg (1995)

4. SVM Application List, http://www.clopinet.com/isabelle/Projects/SVM/applist.html

5. Burges, C.J.C.: A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery (1998)

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