An intrusion detection method based on SVM and KPCA

Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07

Volumn 4, Issue , 2007, Pages 1462-1466

  Li, Yuan Cheng ^a   Wang, Zhong Qiang ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Feature extraction; IDS; Kernel methods; KPCA; SVM

Indexed keywords

FEATURE EXTRACTION; INTRUSION DETECTION; NETWORK SECURITY; WAVELET ANALYSIS;

FALSE ALARM RATE; INTRUSION DETECTION METHOD; INTRUSION DETECTION SYSTEMS; KERNEL METHODS; KPCA; MISUSE DETECTION; PRINCIPAL COMPONENTS; SVM CLASSIFIERS;

PATTERN RECOGNITION;

EID: 45149097329     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICWAPR.2007.4421680     Document Type: Conference Paper

References (9)

1. Vapnik V. N, The Nature of Statistical Learning Theory, Springer, New York, 1995.
2. Cao L J, Chua K S, Chong W K, A comparison of PCA, KPCA, and ICA for dimensionality reduction in support vector machine, Neural computing, 2003.
3. Vapnik V. N, Statistical learning theory, John Wiley & Sons, New York, 1998.
4. Christopher J.C, Burges, A Tutorial on Support Vector Machines for Pattern Recognition, Data Mining and Knowledge Discovery, Kluwer Academic Publishers, Vol. 2, pp. 121-167, 1998.
5. Byung-joo Kim, IL-kon Kim, Kernel Based Intrusion Detection System, ICIS'2005 IEEE, 2005.
6. J.A.K. Suykens, J. Vandewalle, Least squares support vector machine classifiers, Neural Processing Letters, Vol. 9, No. 3, pp. 293-300, 1999.
7. Tsujinishi Daisuke, Abe Shigeo, Fuzzy Least Squares Support Vector Machines for Multi-Class Problems, Neural Networks Field, Elsevier, pp. 785-792, 2003.
8. S. Staniford-Chen. The DARPA Common Intrusion Detection Framework. Unpublished working draft, distributed to CIDF working group, 1997.
9. http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html