247 citations · 584 across the 20 of their papers we have counts for
19 papers · 1 filter
NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation
Xi Jiang, Shinan Liu, Aaron Gember-Jacobson +4
Datasets of labeled network traces are essential for a multitude of machine learning (ML) tasks in networking, yet their availability is hindered by privacy and maintenance concern…
Estimating WebRTC Video QoE Metrics Without Using Application Headers
Taveesh Sharma, Tarun Mangla, Arpit Gupta +2
The increased use of video conferencing applications (VCAs) has made it critical to understand and support end-user quality of experience (QoE) by all stakeholders in the VCA ecosy…
AC-DC: Adaptive Ensemble Classification for Network Traffic Identification
Xi Jiang, Shinan Liu, Saloua Naama +3
Accurate and efficient network traffic classification is important for many network management tasks, from traffic prioritization to anomaly detection. Although classifiers using p…
Enabling Personalized Video Quality Optimization with VidHoc
Xu Zhang, Paul Schmitt, Marshini Chetty +2
The emerging video applications greatly increase the demand in network bandwidth that is not easy to scale. To provide higher quality of experience (QoE) under limited bandwidth, a…
Towards Reproducible Network Traffic Analysis
Jordan Holland, Paul Schmitt, Prateek Mittal +1
Analysis techniques are critical for gaining insight into network traffic given both the higher proportion of encrypted traffic and increasing data rates. Unfortunately, the domain…
Measuring the Performance and Network Utilization of Popular Video Conferencing Applications
Kyle MacMillan, Tarun Mangla, James Saxon +1
Video conferencing applications (VCAs) have become a critical Internet application, even more so during the COVID-19 pandemic, as users worldwide now rely on them for work, school,…