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Preface on the 5th International Workshop on Traffic Measurements for Cybersecurity.

, , and . EuroS&P Workshops, page 521. IEEE, (2020)

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On the use of Sub-Space Clustering & Evidence Accumulation for traffic analysis & classification., , and . IWCMC, page 1016-1021. IEEE, (2011)Detecting and diagnosing anomalies in cellular networks using Random Neural Networks., , , and . IWCMC, page 351-356. IEEE, (2016)Quality of Experience in Cloud services: Survey and measurements., and . Comput. Networks, (2014)YouTube all around: Characterizing YouTube from mobile and fixed-line network vantage points., , , , , and . EuCNC, page 1-5. IEEE, (2014)Network security and anomaly detection with Big-DAMA, a big data analytics framework., , , , and . CloudNet, page 16-22. IEEE, (2017)Machine-Learning Based Approaches for Anomaly Detection and Classification in Cellular Networks., , and . TMA, IFIP, (2016)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)Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones., , and . SIGMETRICS Perform. Evaluation Rev., 46 (3): 155-158 (2018)DeepSec meets RawPower - Deep Learning for Detection of Network Attacks Using Raw Representations., , and . SIGMETRICS Perform. Evaluation Rev., 46 (3): 147-150 (2018)