A novel SVM by combining kernel principal component analysis and improved chaotic particle swarm optimization for intrusion detection

Author:

Kuang Fangjun,Zhang Siyang,Jin Zhong,Xu Weihong

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference32 articles.

1. Chen ZG, Ren HD, Du XJ (2008) Minimax probability machine classifier with feature extraction by kernel PCA for intrusion detection. In: Proceedings of WiCOM08, pp 1–4

2. Chimphlee W, Addullah AH, Sap MNM et al (2006) Anomaly-based intrusion detection using fuzzy rough clustering. In: Proceedings of ICHIT06, pp 329–334

3. Ding M, Tian Z, Xu H (2009) Adaptive kernel principal analysis for online feature extraction. Proc World Acad Sci Eng Technol 59:288–293

4. Eskin E (2000) Anomaly detection over noisy data using learned probability distributions. In: Proceedings of ICML2000, pp 255–262

5. Fei R, Hu L, Liang H (2008) Using density-based incremental clustering for anomaly detection. In: Proceedings of CSSE08, pp 986–989

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