Modern Artificial Intelligence 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/ML algorithms to address many problems related to network operations, management and cybersecurity.
In this talk I’ll present some of our recent results in applying AI-based solution 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.
Marco Mellia is a full professor at Politecnico di Torino, Italy, where he is the coordinator of the SmartData@PoliTO center on Big Data, Machine Learning and Data Science.
His research interests are in the area of Internet monitoring, users‘ characterisation, cyber security, and big data analytics applied to different areas.
He has co-authored over 250 papers published in international journals and presented in leading conferences.
He won the IRTF ANR Prize at IETF-88, and best paper award at IEEE P2P’12, ACM CoNEXT’13, IEEE ICDCS’15.
He is Fellow of IEEE and Editor in Chief of the Proceedings of the ACM on Networking.