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Improving web qoe monitoring for encrypted network traffic through time series modeling

, , , , , and . ACM SIGMETRICS Performance Evaluation Review, 48 (4): 37--40 (2021)

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Looking for Network Latency Clusters in the LAC Region., and . LANCOMM@SIGCOMM, page 10-12. ACM, (2016)Diagnosing Device-Specific Anomalies in Cellular Networks., , , and . CoNEXT Student Workshop, page 18-20. ACM, (2014)Understanding HTTP Traffic and CDN Behavior from the Eyes of a Mobile ISP., , and . PAM, volume 8362 of Lecture Notes in Computer Science, page 268-271. Springer, (2014)YouTube all around: Characterizing YouTube from mobile and fixed-line network vantage points., , , , , and . EuCNC, page 1-5. IEEE, (2014)Detecting and diagnosing anomalies in cellular networks using Random Neural Networks., , , and . IWCMC, page 351-356. IEEE, (2016)On the use of Sub-Space Clustering & Evidence Accumulation for traffic analysis & classification., , and . IWCMC, page 1016-1021. IEEE, (2011)Network security and anomaly detection with Big-DAMA, a big data analytics framework., , , , and . CloudNet, page 16-22. IEEE, (2017)Considering User Behavior in the Quality of Experience Cycle: Towards Proactive QoE-aware Traffic Management, , and . IEEE Communications Letters, 23 (7): 1145-1148 (July 2019)Demystifying user-based active learning for network monitoring tasks, , , , and . (2023)Preface on the 5th International Workshop on Traffic Measurements for Cybersecurity., , and . EuroS&P Workshops, page 521. IEEE, (2020)