主講人： 加拿大麥基爾大學資訊學院 Prof.Benjamin Fung
演講主題：AI for Cybersecurity and Crime Investigation
演講摘要：
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.
講者介紹：
Benjamin Fung is a Full Professor in the School of Information Studies and an Associate Member in the School of Computer Science at McGill University. A distinguished researcher in data mining and cybersecurity, he serves as the Editor-in-Chief of Elsevier Sustainable Cities and Society: Advances (SCSADV) and an Associate Editor of ACM Transactions on Knowledge Discovery from Data (TKDD). He earned his Ph.D. in Computing Science from Simon Fraser University and is a licensed Professional Engineer (P.Eng.) in software engineering. With over 200 refereed publications and more than 19,000 citations (h-index 64), Prof. Fung’s work spans machine learning, privacy protection, and digital forensics. His research, developed in close collaboration with the national defense, transportation, and healthcare sectors, has been featured extensively by international media, particularly his contributions to authorship analysis and criminal investigation. For more information, visit his research website: http://dmas.lab.mcgill.ca/fung.
時間：13時30分～15時30時
地點：理工二館三樓A325室(資工系會議室)
註：
1.本演講採實體演講方式進行，採英文演講。
2.本次活動可以認證跨域時數(報名連結)，其餘系所可認多元時數。
活動時數將於一周內入戶。
活動時數將於一周內入戶。
活動時數將於一周內入戶。