A New Unsupervised Anomaly Detection Framework for Detecting Network Attacks in Real-Time

Author:

Lu Wei,Traore Issa

Publisher

Springer Berlin Heidelberg

Reference19 articles.

1. Anderson, J.P.: Computer Security Threat Monitoring and Surveillance. Technical Report, James P. Anderson Co., Fort Washington, Pennsylvania (1980)

2. Axelsson, S.: The Base-Rate Fallacy and the Difficulty of Intrusion Detection. ACM Transactions on Information and System Security (TISSEC) 3, 186–201 (2000)

3. Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum Likelihood from Incomplete Data via the EM Algorithm (with discussion). Journal of the Royal Statistical Society B 39, 1–38 (1977)

4. Denning, D.E.: An Intrusion Detection Model. IEEE Transactions on Software Engineering 2, 222–232 (1987)

5. Eskin, E.: Anomaly Detection over Noisy Data using Learned Probability Distributions. In: Proceedings of 17th International Conference on Machine Learning, pp. 255–262 (2000)

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