Deploying aerial infrastructure to support traditional terrestrial wireless communications has
enhanced the maturity of 5G networks and beyond. This improvement has certainly …

A growing number of video streaming networks are incorporating machine learning (ML)
applications. The growth of video streaming services places enormous pressure on network …

The concept for developing the future mobile communication systems has been explored in
recent years with a vision towards 5G and 6G systems. Meeting performance targets such as …

We explore the feasibility of using Generative Adversarial Networks (GANs) to automatically
learn generative models to generate synthetic packet-and flow header traces for networking …

Machine learning is leveraged for many network traffic analysis tasks in security, from
application identification to intrusion detection. Yet, the aspects of the machine learning …

Round-trip time (RTT) is a central metric that influences end-user QoE and can expose traffic-
interception attacks. Many popular RTT monitoring techniques either send active probes …

Traffic classification is essential in network management for operations ranging from
capacity planning, performance monitoring, volumetry, and resource provisioning, to …

Video-conferencing applications impose high loads and stringent performance requirements
on the network. To better understand and manage these applications, we need effective …

Inferring the quality of streaming video applications is important for Internet service
providers, but the fact that most video streams are encrypted makes it difficult to do so. We …

We present a data-plane algorithm that passively and continuously monitors the Round-Trip
Time of TCP traffic, by matching data packets with their associated acknowledgments and …