9I制作厂免费

The seminar will start with an introduction to general concepts of machine learning followed by two research directions. The first research direction is to illustrate how to use AI for malware analysis. Assembly code analysis is one of the critical processes for mitigating the exponentially increasing threats from malicious software. However, it is a manually intensive and time-consuming process even for experienced reverse engineers. An effective and efficient assembly code clone search engine can greatly reduce the effort of this process. The second research direction is on authorship analysis for crime investigation. The objective is to identify the author or infer the author's characteristics based on their writing style.

Speaker

Prof. Benjamin Fung is a Canada Research Chair in Data Mining for Cybersecurity, a Full Professor of the School of Information Studies (SIS) at 9I制作厂免费, and an Associate Editor of Elsevier Sustainable Cities and Society (SCS). He received a Ph.D. degree in computing science from Simon Fraser University in 2007. Collaborating closely with the national defense, transportation, and healthcare sectors, he has published over 180 refereed articles that span across the research forums of data mining, machine learning, privacy protection, and cybersecurity with over 17,000 citations and h-index 60. His data mining works in crime investigation and authorship analysis have been reported by media, including the New York Times, BBC, CBC, etc. Prof. Fung is a licensed professional engineer in software engineering. See his research website for more information.