MIT CINCS (Communications Information Networks Circuits and Signals) / Hamilton Institute Seminar - Professor Paul Patras, University of Edinburgh; "Making Sense of Mobile Network Traffic using Deep Learning"

Wednesday, October 20, 2021 - 16:00 to 17:00

Accurate understanding of mobile network traffic at city scale is increasingly important for precision network engineering, demand-aware allocation of compute resources, and security.  Gaining such knowledge is however difficult, because it requires large-scale measurement collection using dedicated equipment, substantial storage capabilities, and  non-trivial post-processing.

In this talk I will first make the case for harnessing the power of deep learning to obtain highly-accurate real-time mobile traffic analytics that can fuel the management of 5G networks. I will then show how machine learning can be used in a principled way to detect network threats in their infancy and how to build such detection systems with a view to deployment at the edge.