Strengthening Data-Driven Cybersecurity

KU Leuven: DistriNet

DistriNet is hosting an event on  Strengthening Data-Driven Cybersecurity

KU Leuven Campus Arenberg III

Cybersecurity research and practice have the potential to benefit significantly from advances in AI machine learning, assuming that next generation solutions can learn from and build upon relevant data.Both benign and malicious behavior is modeled by collecting, synthesizing, analyzing data, etc. Research communities and industry practitioners need and benefit from the trustworthiness and quality of data. In addition, the way we process and leverage cybersecurity relevant data is of crucial importance.This meeting brings important lessons learned and ongoing efforts to move forward in this space. The program highlights the public PhD Defense of Victor Le Pochat, and starts with a keynote from Prof. Michel van Eeten. Check it out and register swiftly. The number of seats is limited.Program14.40: Welcome &amp; Registration15.00: Keynote: “Scans, Sticks and Carrots: Collecting Data to Improve Cybersecurity” (Prof. Michel van Eeten, TU Delft)15.40: “From Data to Detection: Challenges in Data Collection for ML-based Network Intrusion Detection Systems” (Gints Engelen, KU Leuven) 16.00: “Machine learning in cybersecurity: a case study in virus and malware detection” (Davy Preuveneers, KU Leuven)16.20: Break &amp; Refreshments17.00: Public PhD Defense by Victor Le Pochat: Sound Data Sets and Methods for Web Security Research(17.45: Q&A and discussion, and deliberation by the jury)18.30: Networking reception

Venue: KU Leuven, Campus Arenberg 3, Celestijnenlaan 200A, Dept. Computer Science, Room: Auditorium Erik Duval, 00.225