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YouTube all around: Characterizing YouTube from mobile and fixed-line network vantage points.

, , , , , and . EuCNC, page 1-5. IEEE, (2014)

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On the Role of Flows and Sessions in Internet Traffic Modeling: An Explorative Toy-Model., , , , , and . GLOBECOM, page 1-8. IEEE, (2009)Modeling of Call Dropping in Well-Established Cellular Networks., , and . EURASIP J. Wireless Comm. and Networking, (2007)Distribution-Based Anomaly Detection in Network Traffic., , and . Data Traffic Monitoring and Analysis, volume 7754 of Lecture Notes in Computer Science, Springer, (2013)Device-Specific Traffic Characterization for Root Cause Analysis in Cellular Networks., , and . TMA, volume 9053 of Lecture Notes in Computer Science, page 64-78. Springer, (2015)A Survey on Big Data for Network Traffic Monitoring and Analysis., , , , and . IEEE Trans. Network and Service Management, 16 (3): 800-813 (2019)A review of DoS attack models for 3G cellular networks from a system-design perspective., , and . Comput. Commun., 33 (5): 551-558 (2010)On the ground truth problem of malicious DNS traffic analysis., , , , and . Comput. Secur., (2015)COMINDIS - COllaborative Monitoring with MINimum DISclosure (Poster)., , and . TMA, volume 6613 of Lecture Notes in Computer Science, page 189-192. Springer, (2011)YouTube in the move: Understanding the performance of YouTube in cellular networks., , , and . Wireless Days, page 1-6. IEEE, (2014)Detecting and diagnosing anomalies in cellular networks using Random Neural Networks., , , and . IWCMC, page 351-356. IEEE, (2016)