Sarah Wassermann

27 papers B 4Journal 8Unranked 15

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Targeted Attacks: Redefining Spear Phishing and Business Email Compromise. CoRR Sarah Wassermann, Maxime Meyer, Sébastien Goutal, Damien Riquet
2022	B	`conf`	DeepCrypt - Deep Learning for QoE Monitoring and Fingerprinting of User Actions in Adaptive Video Streaming. NetSoft Pedro Casas, Michael Seufert, Sarah Wassermann, Bruno Gardlo, Nikolas Wehner, Raimund Schatz
2022	—	`conf`	Fingerprinting Web Pages and Smartphone Apps from Encrypted Network Traffic with WebScanner. CloudNet Pedro Casas, Nikolas Wehner, Sarah Wassermann, Michael Seufert
2022	—	`conf`	Not all Web Pages are Born the Same Content Tailored Learning for Web QoE Inference. M&N Pedro Casas, Sarah Wassermann, Nikolas Wehner, Michael Seufert, Tobias Hossfeld
2022	—	`conf`	X-Ray Goggles for the ISP: Improving in-Network Web and App QoE Monitoring with Deep Learning. TMA Pedro Casas, Sarah Wassermann, Michael Seufert, Nikolas Wehner, Olivia Dinica, Tobias Hossfeld
2021	J	`jnl`	Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis. IEEE Trans. Netw. Serv. Manag. Sarah Wassermann, Thibaut Cuvelier, Pavol Mulinka, Pedro Casas
2021	J	`jnl`	Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling. SIGMETRICS Perform. Evaluation Rev. Nikolas Wehner, Michael Seufert, Joshua Schuler, Sarah Wassermann, Pedro Casas, Tobias Hossfeld
2021	—	`conf`	Mobile Web and App QoE Monitoring for ISPs - from Encrypted Traffic to Speed Index through Machine Learning. WMNC Pedro Casas, Sarah Wassermann, Nikolas Wehner, Michael Seufert, Joshua Schüler, Tobias Hossfeld
2020	B	`conf`	Are you on Mobile or Desktop? On the Impact of End-User Device on Web QoE Inference from Encrypted Traffic. CNSM Sarah Wassermann, Pedro Casas, Zied Ben-Houidi, Alexis Huet, Michael Seufert, Nikolas Wehner, Joshua Schüler, Shengming Cai, Hao Shi, Jinchun Xu, Tobias Hoßfeld, Dario Rossi
2020	—	`conf`	How good is your mobile (web) surfing?: speed index inference from encrypted traffic. SIGCOMM Posters and Demos Sarah Wassermann, Pedro Casas, Michael Seufert, Nikolas Wehner, Joshua Schüler, Tobias Hossfeld
2020	—	`conf`	RAL: reinforcement active learning for network traffic monitoring and analysis. SIGCOMM Posters and Demos Sarah Wassermann, Thibaut Cuvelier, Pedro Casas
2020	J	`jnl`	ViCrypt to the Rescue: Real-Time, Machine-Learning-Driven Video-QoE Monitoring for Encrypted Streaming Traffic. IEEE Trans. Netw. Serv. Manag. Sarah Wassermann, Michael Seufert, Pedro Casas, Li Gang, Kuang Li
2019	B	`conf`	ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring. CNSM Sarah Wassermann, Thibaut Cuvelier, Pavol Mulinka, Pedro Casas
2019	J	`jnl`	Considering User Behavior in the Quality of Experience Cycle: Towards Proactive QoE-Aware Traffic Management. IEEE Commun. Lett. Michael Seufert, Sarah Wassermann, Pedro Casas
2019	—	`conf`	I See What you See: Real Time Prediction of Video Quality from Encrypted Streaming Traffic. Internet-QoE@MOBICOM Sarah Wassermann, Michael Seufert, Pedro Casas, Li Gang, Kuang Li
2019	—	`conf`	Let me Decrypt your Beauty: Real-time Prediction of Video Resolution and Bitrate for Encrypted Video Streaming. TMA Sarah Wassermann, Michael Seufert, Pedro Casas, Li Gang, Kuang Li
2019	J	`jnl`	Lightweight, General Inference of Streaming Video Quality from Encrypted Traffic. CoRR Francesco Bronzino, Paul Schmitt, Sara Ayoubi, Nick Feamster, Renata Teixeira, Sarah Wassermann, Srikanth Sundaresan
2019	—	`conf`	On the Analysis of YouTube QoE in Cellular Networks through in-Smartphone Measurements. WMNC Sarah Wassermann, Pedro Casas, Michael Seufert, Florian Wamser
2018	—	`conf`	Anycaston the Move: A Look at Mobile Anycast Performance. TMA Sarah Wassermann, John P. Rula, Fabian E. Bustamante, Pedro Casas
2018	—	`conf`	BIGMOMAL: Big Data Analytics for Mobile Malware Detection. WTMC@SIGCOMM Sarah Wassermann, Pedro Casas
2018	B	`conf`	Beauty is in the Eye of the Smartphone Holder A Data Driven Analysis of YouTube Mobile QoE. CNSM Nikolas Wehner, Sarah Wassermann, Pedro Casas, Michael Seufert, Florian Wamser
2018	—	`conf`	Distributed Internet Paths Performance Analysis Through Machine Learning. TMA Sarah Wassermann, Pedro Casas
2018	J	`jnl`	Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones. SIGMETRICS Perform. Evaluation Rev. Sarah Wassermann, Nikolas Wehner, Pedro Casas
2017	—	`conf`	Improving QoE prediction in mobile video through machine learning. NOF Pedro Casas, Sarah Wassermann
2017	—	`conf`	NETPerfTrace: Predicting Internet Path Dynamics and Performance with Machine Learning. Big-DAMA@SIGCOMM Sarah Wassermann, Pedro Casas, Thibaut Cuvelier, Benoit Donnet
2016	—	`conf`	On the Analysis of Internet Paths with DisNETPerf, a Distributed Paths Performance Analyzer. LCN Workshops Sarah Wassermann, Pedro Casas, Benoit Donnet, Guy Leduc, Marco Mellia
2016	J	`jnl`	Unveiling network and service performance degradation in the wild with mplane. IEEE Commun. Mag. Pedro Casas, Pierdomenico Fiadino, Sarah Wassermann, Stefano Traverso, Alessandro D'Alconzo, Edion Tego, Francesco Matera, Marco Mellia