Catch It If You Can: Real-Time Network Anomaly Detection with Low False Alarm Rates - researchr publication authors

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Georgios Kathareios, Andreea Anghel, Akos Mate, Rolf Clauberg, Mitch Gusat. Catch It If You Can: Real-Time Network Anomaly Detection with Low False Alarm Rates. In Xuewen Chen, Bo Luo, Feng Luo, Vasile Palade, M. Arif Wani, editors, 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017, Cancun, Mexico, December 18-21, 2017. pages 924-929, IEEE, 2017. [doi]

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