Intrusion detection system based on feature selection and support vector machine

First International Conference on Communications and Networking in China, ChinaCom '06

Volumn , Issue , 2007, Pages

  Zhang, Xue Qin ^a   Gu, Chun Hua ^a   Lin, Jia Jun ^a  

^a EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE SPACES;

DATA STRUCTURES; FEATURE EXTRACTION; OPTIMIZATION; PROBLEM SOLVING; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES;

INTRUSION DETECTION;

EID: 36049024361     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CHINACOM.2006.344739     Document Type: Conference Paper

References (12)

1. C.Cortes and V.Vapnik, "Support Vector Networks", Machine learning, vol.20, no.3, pp.273-297, 1995.
2. C.J.C. Burges, "A tutorial on support vector machines for pattern recognition", Data Mining and Knowledge Discovery, vol 2,no.2, pp: 121-167, 1998.
3. Z.R.Yang and K.C.Chou, "Bio-support vector machines for computational proteomics", Bioinformnatics, vol. 20, pp: 735-741, 2004.
4. G.D.Guo and S.Z.Li, "Content-based audio classification and retrieval by support vector machines", IEEE Transactions on Speech and Audio Processing, vol. 14, no. 1, pp. 209-215, 2003.
5. S.Mukkamala, G.l.Janoski and A.H.Sung, "Intrusion Detection Using Neural Networks and Support Vector Machines", Proceedings of IEEE International Joint Conference on Neural Networks, pp: 1702-1707, 2002:
6. F.F.Wu, Y.L.Zhao and J.Zefe, "Nove Support Vector Machine Classifier Based on Density Clustering", Journal of Xi'an Jiaotong Universtity, vol.39, no.12, 2005.
7. K.Tsuda, M.Kawanabe and K.R.Müller, "Clustering with the Fisher Score", Proceedings of Advances in Neural Information, pp: 729-736, 2003.
8. S.Theodoridis and K.Koutroumbas, Pattern Recognition (Second Edition), Academic Press, USA, 2003.
9. KDDCUP'99 dataset, available at: http://kdd.ics.uci.edu/dataset/kddcup99/ kddcup99.htm.
10. C.C. Chang and C.J.Lin, LIBSVM: a library for support vector machines, 2001, available at: http://www.csie.ntu.edu.tw/∼cjlin/libsvm.
11. A. L. Blum and P. Langley, "Selection of relevant features and examples in machine learning", Artificial Intelligence, 97:245-271, 1997.
12. Y.Y.,Gao, X.Fu and G.YU, "IDS evaluation approach based on ROC curves", Journal on Communications, vol.26, no. 1, pp: 113-115, 2005.