Application of Support Vector Clustering algorithm to network intrusion detection

Proceedings of 2005 International Conference on Neural Networks and Brain Proceedings, ICNNB'05

Volumn 2, Issue , 2005, Pages 1036-1040

  Baoguo, Xu ^a   Apin, Zhang ^a  

^a JIANGNAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BENCHMARKING; DATA STRUCTURES; DISTRIBUTED DATABASE SYSTEMS; GLOBAL OPTIMIZATION; QUADRATIC PROGRAMMING;

DATA SET; EUCLIDIAN DISTANCE; NETWORK INTRUSION DETECTION; SUPPORT VECTOR CLUSTERING (SVC); SUPPORT VECTOR MACHINES (SVM);

LEARNING SYSTEMS;

EID: 33847113954     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. M. Mahoney and P. Chan, "Learning nonstationary models of normal network traffic for detecting novel attacks," in Proceedings of the Eighth ACM SIGKDD International conference on Knowledge Discovery and Data Mining, pp. 23-26, 2002.
2. E. Leon, O. Nasraoui, and J. Gomez, "Anomaly detection based on unsupervised niche clustering with application to network intrusion detection," in Proceedings of IEEE Conference on Evolutionary Computation (CEC), pp. 502-508, 2004.
3. Y. Guan, A. A. Ghorbani, and N. Belacel, "Y-MEANS: a clustering method for intrusion detection," in Canadian Conference on Electrical and Computer Engineering, pp. 1083-1086, 2003.
4. T. Ban and S. Abe, "Spatially chunking support vector clustering algorithm," in International Joint Conference on Neural Networks, vol.1, pp. 413-418, 2004.
5. D. M. J. Tax and R. P. W. Duin, "Support vector domain description," in Pattern Recognition Letters, vol. 20, pp. 1191-1199, 1999.
6. B. Schölkopf, J. C. Platt, J. Shawe-Taylor, A. J. Smola, and R. C. Williamson, "Estimating the support of a high-dimensional distribution," in Neural Computation, vol. 13, pp. 1443-1471, 2001.
7. A. Ben-Hur, D. Horn, H. T. Siegelmann, and V. Vapnik, "Support vector clustering," in J. Machine Learning Research, vol. 2, pp. 125-137, 2001.
8. J. Yang, V. Estivill-Castro and S. K. Chalup, "Support vector clustering through proximity graph modeling," in Proceedings of the Ninth international Conference on Neural Information Processing, vol. 2, pp. 898-903, 2002.
9. J. Lee and D. Lee, "An improved cluster labeling method for support vector clustering," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 3, pp. 461-464, 2005.
10. MIT Lincoln Labs, "KDDCup1999 dataset," in The Fifth International Conference on Knowledge Discovery and Data Mining, 1999.
11. W. Fan, M. Miller, S. Stolfo, W. Lee, and P. Chan, "Using artificial anomalies to detect unknown and known network intrusions," in Proceedings of the first IEEE International Conference on Data Mining, pp. 123-130, 2001.