演講日期/時間：115/05/22(五) 11:00–12:00
Date/Time: May 22, 2026 (Friday) 11:00–12:00

演講地點：資訊大樓 I633
Venue: Room I633, Information Building

演講主題：AI for Cybersecurity and Crime Investigation
Topic: ​AI for Cybersecurity and Crime Investigation

演講人：Benjamin Fung / Professor, School of Information Studies, McGill University, Canada
Speaker: Benjamin Fung / Professor, School of Information Studies, McGill University, Canada

Abstract: 
This seminar highlights a selection of high-impact research projects currently underway at the McGill Data Mining and Security (DMaS) Lab. The presentation is structured into three core components. First, we explore AI-assisted software reverse engineering. As malicious software threats increase exponentially, assembly code analysis has become a critical line of defense. However, this process remains notoriously labor-intensive, even for veteran security professionals. We discuss how the development of advanced assembly code clone search engines can significantly automate and streamline these workflows. Second, the seminar delves into authorship analysis. In modern digital forensics, investigators frequently encounter anonymous emails, social media posts, and encrypted communications. We present novel data mining and machine learning methodologies designed to identify authors and extract actionable intelligence from anonymous digital footprints. Finally, the session concludes with an overview of current research initiatives and a discussion of potential research opportunities for students and collaborators at McGill University.