The SmartData@PoliTO center focuses on Big Data technologies, Data Science and Machine Learning approaches. We blend interdisciplinary people and competences from different domains to provide cross-domain solutions to the widest spectrum of knowledge discovery challenges, by leveraging advanced expertise in data science, from data management, to data modeling, analytics, and engineering. We are a well-recognized center where experts in methodologies and domain experts from various disciplines work in a single space, facing both theoretical problems and helping companies toward applications.
Presenter: Kênia CarolinaFriday, 26 February, 11:30 PMLocation: Sala Grande Covivio, Corso Ferrucci 112 ABSTRACT Kênia is a PhD candidate in Computer Science, in a joint program between UFMG, Brazil, and UniTo, Italy. She has worked in the field of computing for over 20 years, having worked in software development, project management, and teaching in various […]
Presenter: Gregorio López LópezTuesday, October 14th, 2:00 PMLocation: Sala Piccola Covivio, Corso Ferrucci 112 ABSTRACT In this talk, Dr. Gregorio (Grego) López provides an overview of the research activities carried out by his research group in Comillas Pontifical University (Madrid), which spans from using games for prevention and research in cybersecurity and cybercrime to cybersecurity […]
Presenter: Tailai SongFriday, October 3rd, 2025, 10:00 AMLocation: Sala Piccola Covivio, Corso Ferrucci 112 ABSTRACT To combat phishing attacks, reference-based phishing detection hinged on multifarious resources and tools has recently emerged as the leading solution, while complexity and cost appear to be overlooked, fundamentally undermining the practicality of phishing defense. Meanwhile, conventional methods suffer from […]
Presenter: Andrea SordelloThursday, June 19th, 2025, 5:00 PMLocation: Sala Grande Covivio, Corso Ferrucci 112 ABSTRACT Passive network measurement traditionally emphasizes inbound traffic for detecting threats and monitoring performance. Outbound traffic generated by internal hosts that fail to reach valid destinations or contains error messages remains largely unexplored. We investigate the potential of such traffic to […]
