Unsupervised network intrusion detection systems: Detecting the unknown without knowledge P Casas, J Mazel, P Owezarski Computer Communications 35 (7), 772-783, 2012 | 349 | 2012 |
A survey on big data for network traffic monitoring and analysis A D’Alconzo, I Drago, A Morichetta, M Mellia, P Casas IEEE Transactions on Network and Service Management 16 (3), 800-813, 2019 | 173 | 2019 |
YoMoApp: A tool for analyzing QoE of YouTube HTTP adaptive streaming in mobile networks F Wamser, M Seufert, P Casas, R Irmer, P Tran-Gia, R Schatz 2015 European Conference on Networks and Communications (EuCNC), 239-243, 2015 | 140 | 2015 |
YOUQMON: A system for on-line monitoring of YouTube QoE in operational 3G networks P Casas, M Seufert, R Schatz ACM SIGMETRICS Performance Evaluation Review 41 (2), 44-46, 2013 | 134 | 2013 |
Ensemble-learning approaches for network security and anomaly detection J Vanerio, P Casas Proceedings of the workshop on big data analytics and machine learning for …, 2017 | 129 | 2017 |
Quality of experience in cloud services: Survey and measurements P Casas, R Schatz Computer Networks 68, 149-165, 2014 | 128 | 2014 |
Passive youtube QoE monitoring for ISPs R Schatz, T Hoßfeld, P Casas 2012 Sixth International Conference on Innovative Mobile and Internet …, 2012 | 116 | 2012 |
Predicting QoE in cellular networks using machine learning and in-smartphone measurements P Casas, A D'Alconzo, F Wamser, M Seufert, B Gardlo, A Schwind, ... 2017 Ninth International Conference on Quality of Multimedia Experience …, 2017 | 113 | 2017 |
Next to you: Monitoring quality of experience in cellular networks from the end-devices P Casas, M Seufert, F Wamser, B Gardlo, A Sackl, R Schatz IEEE Transactions on Network and Service Management 13 (2), 181-196, 2016 | 95 | 2016 |
Deepmal-deep learning models for malware traffic detection and classification G Marín, P Caasas, G Capdehourat Data science–analytics and applications: proceedings of the 3rd …, 2021 | 92 | 2021 |
Modeling the YouTube stack: From packets to quality of experience F Wamser, P Casas, M Seufert, C Moldovan, P Tran-Gia, T Hossfeld Computer Networks 109, 211-224, 2016 | 91 | 2016 |
When YouTube does not work—Analysis of QoE-relevant degradation in Google CDN traffic P Casas, A D'Alconzo, P Fiadino, A Bär, A Finamore, T Zseby IEEE Transactions on Network and Service Management 11 (4), 441-457, 2014 | 90 | 2014 |
EXPLAIN-IT: Towards explainable AI for unsupervised network traffic analysis A Morichetta, P Casas, M Mellia Proceedings of the 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and …, 2019 | 85 | 2019 |
Large-scale network traffic monitoring with DBStream, a system for rolling big data analysis A Bär, A Finamore, P Casas, L Golab, M Mellia 2014 IEEE International Conference on Big Data (Big Data), 165-170, 2014 | 80 | 2014 |
Stream-based machine learning for real-time QoE analysis of encrypted video streaming traffic M Seufert, P Casas, N Wehner, L Gang, K Li 2019 22nd Conference on innovation in clouds, internet and networks and …, 2019 | 68 | 2019 |
Unada: Unsupervised network anomaly detection using sub-space outliers ranking P Casas, J Mazel, P Owezarski NETWORKING 2011: 10th International IFIP TC 6 Networking Conference …, 2011 | 64 | 2011 |
Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks. P Casas, P Fiadino, A D'Alconzo TMA, 1-8, 2016 | 63 | 2016 |
Vicrypt to the rescue: Real-time, machine-learning-driven video-qoe monitoring for encrypted streaming traffic S Wassermann, M Seufert, P Casas, L Gang, K Li IEEE Transactions on Network and Service Management 17 (4), 2007-2023, 2020 | 62 | 2020 |
YouTube & Facebook Quality of Experience in mobile broadband networks P Casas, A Sackl, S Egger, R Schatz 2012 IEEE Globecom Workshops, 1269-1274, 2012 | 62 | 2012 |
Quality of experience in remote virtual desktop services P Casas, M Seufert, S Egger, R Schatz 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM …, 2013 | 61 | 2013 |