An Adaptive Intrusion Detection Algorithm Based on Clustering and Kernel-Method

1. Lee, W., Stolfo, S., Mok, K.: A Data Mining Framework for Building Intrusion Detection Models. In: Proceedings of the 1999 IEEE Symposium on Security and Privacy, pp. 120–132 (1999)

   Google Scholar 

2. Hu, W., Liao, Y., Vemuri, V.: Robust Support Vector Machines for Anomaly Detection in Computer Security. In: Proceedings of the International Conference on Machine Learning and Applications, pp. 168–174 (2003)

   Google Scholar 

3. Portnoy, L., Eskin, E., Stolfo, S.: Intrusion Detection with Unlabeled Data using Clustering. In: Proceedings of the ACM Workshop on Data Mining Applied to Security (2001)

   Google Scholar 

4. Ye, N., Li, X.: A Scalable Clustering Technique for Intrusion Signature Recognition. In: Proceedings of the IEEE Man, Systems and Cybernetics Information Assurance Workshop (2001)

   Google Scholar 

5. Liu, Y., Chen, K., Liao, X., Zhang, W.: A Genetic Clustering Method for Intrusion Detection. Pattern Recognition 37(5), 927–942 (2004)

   Article  Google Scholar 

6. Dhillon, I., Modha, D.: ‘Concept Decomposition for Large Sparse Text Data using Clustering’, Technical Report RJ 10147(95022), IBM Almaden Research Center (1999)

   Google Scholar 

7. Girolami, M.: Mercer Kernel-based Clustering in Feature Space. IEEE Transaction on Neural Networks 13(3), 780–784 (2002)

   Article  Google Scholar 

8. Baraldi, A., Chang, E.: Simplified ART: A New Class of ART Algorithms, International Computer Science Institute, TR 98-004 (1998)

   Google Scholar 

9. KDD Cup 1999 Data (1999), Available in, http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html

10. Results of the KDD1999, Classifier Learning Contest (1999), Available in, http://wwwcse.ucsd.edu/users/elkan/clresults.html.

11. Kayacik, H., Zincir-Heywood, A., Heywood, M.: On the capability of anSOM based intrusion detection system. In: Proceedings of the International Joint Conference on Neural Networks, vol. 3, pp. 1808–1813 (2003)

    Google Scholar 

12. Ambwani, T.: Multi class support vector machine implementation to intrusion detection. In: Proceedings of the International Joint Conference on Neural Networks, vol. 3, pp. 2300–2305 (2003)

    Google Scholar 

Download references