Data, AI and Cybersecurity: Synergies and Interconnection
This Dean's Distinguished Lecture is part of the ECE Graduate Seminar. Modern Artificial Intelligence (AI) technologies, led by deep learning, have gained unprecedented momentum over the past decade.
Overview
This Dean's Distinguished Lecture is part of the ECE Graduate Seminar.
Abstract
Modern Artificial Intelligence (AI) technologies, led by deep learning, have gained unprecedented momentum over the past decade. Following this wave of "AI summer," the network research community has also embraced AI/machine learning algorithms to address many problems related to network operations, management and cybersecurity.
In this talk, Professor Mellia will present some of his team’s recent results in applying AI-based solutions to automatically process traffic traces and detect novel attacks, prevent cybersquatting attacks, support forensic investigations, and open new opportunities to protect users from possible abuses.
Brief Biography
Marco Mellia is a full professor and coordinator of the SmartData@PoliTO center on Big Data, Machine Learning and Data Science at the Politecnico di Torino, Italy. His research interests are in the areas of internet monitoring, users' characterisation, cybersecurity and big data analytics applied to different areas.
Professor Mellia has co-authored over 250 papers published in international journals and presented at leading conferences. He won the IRTF ANR Prize at IETF-88 and the Best Paper Award at IEEE P2P '12, ACM CoNEXT' 13 and IEEE ICDCS ’15. He is an IEEE Fellow and the Editor-in-Chief of the Proceedings of the ACM on Networking.
