Author:
Abt Sebastian,Gärtner Sebastian,Baier Harald
Reference35 articles.
1. S. Abt, S. Wener, and H. Baier. Performance evaluation of classification and feature selection algorithms for netflow-based protocol recognition. In M. Horbach, editor, GI-Jahrestagung, volume 220 of LNI, pages 2184--2197. GI, 2013.
2. R. Atterer, M. Wnuk, and A. Schmidt. Knowing the user's every move: user activity tracking for website usability evaluation and implicit interaction. In Proceedings of the 15th international conference on World Wide Web, WWW '06, pages 203--212, New York, NY, USA, 2006. Association for Computer Machinery.
3. C. Banse, D. Herrmann, and H. Federrath. Tracking Users on the Internet with Behavioral Patterns: Evaluation of Its Practical Feasibility. In Information Security and Privacy Research, volume 376 of IFIP Advances in Information and Communication Technology, pages 235--248. Springer Berlin Heidelberg, 2012.
4. P. Barthakur, M. Dahal, and M. Ghose. A Framework for P2P Botnet Detection Using SVM. In 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), pages 195--200, 2012.
5. B. E. Boser, I. M. Guyon, and V. N. Vapnik. A training algorithm for optimal margin classifiers. In Proceedings of the fifth annual workshop on Computational learning theory, COLT '92, pages 144--152, New York, NY, USA, 1992. ACM.
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