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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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Let me Decrypt your Beauty: Real-time Prediction of Video Resolution and Bitrate for Encrypted Video Streaming, , , , and . (June 2019)Unveiling network and service performance degradation in the wild with mplane., , , , , , , and . IEEE Communications Magazine, 54 (3): 71-79 (2016)ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring., , , and . CNSM, page 1-9. IEEE, (2019)Let me Decrypt your Beauty: Real-time Prediction of Video Resolution and Bitrate for Encrypted Video Streaming., , , , and . TMA, page 199-200. IEEE, (2019)Are you on mobile or desktop? on the impact of end-user device on web qoe inference from encrypted traffic, , , , , , , , , and 1 other author(s). 2020 16th International Conference on Network and Service Management (CNSM), page 1--9. IEEE, (2020)ViCrypt: Real-time, Fine-grained Prediction of Video Quality from Encrypted Streaming Traffic, , , , and . (October 2019)How Good is your Mobile (Web) Surfing? SpeedIndex Inference from Encrypted Traffic, , , , , and . (August 2020)Improving QoE prediction in mobile video through machine learning., and . NOF, page 1-7. IEEE, (2017)NETPerfTrace: Predicting Internet Path Dynamics and Performance with Machine Learning., , , and . Big-DAMA@SIGCOMM, page 31-36. ACM, (2017)DeepCrypt - Deep Learning for QoE Monitoring and Fingerprinting of User Actions in Adaptive Video Streaming., , , , , and . NetSoft, page 259-263. IEEE, (2022)