CYBERSEC 2022 uses cookies to provide you with the best user experience possible. By continuing to use this site, you agree to the terms in our Privacy Policy. I Agree
Cyber threats are one of the most pressing issues in the digital age. There has been a consensus on deploying a proactive defense to effectively detect and respond to adversary threats. The key to success is understanding the characteristics of malware, including their activities and manipulated resources on the target machines. In this talk, I will share my experience in malware behavior analysis (MAMBA) using neural networks and MITRE ATT&CK framework for understand the tactics, techniques and procedure of malware. Help security analysts to better understand the captured malicious behavior, the associated API calls and manipulated system resources constitute observable evidence.
Yi-Ting Huang received the Ph.D. degree in Information Management from National Taiwan University in 2015, and is an assistant professor of Department of Electrical Engineering at National Taiwan University of Science and Technology. Her current research interests include malware analysis, MITRE ATT&CK, and deep learning.