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"Low-Level Hardware Information Assisted Approach Towards System Security"
by Dr. Chen Liu, Clarkson University.
Abstract: Cyber-attacks come in many different shapes and forms. In order to combat against the modern cyber-attacks, cyber-security researchers have to play the game of “cat and mouse” in analyzing and discovering the vulnerabilities of the system to come out on top against the malicious attackers. However, the traditional static detection systems are not able to differentiate between benign and malicious behaviors effectively. In this talk, Dr. Liu will share his thoughts on the detection of different attacks through modeling the execution behavior of an application using low-level hardware information. Dr. Liu's approaches can provide more flexibility for detection schemes by performing dynamic behavioral analysis at run-time. With anomaly detection methods, the abnormal behaviors that deviate from benign behaviors at run-time can be flagged and captured.
About the Speaker
Dr. Chen Liu is currently an Associate Professor in the Department of Electrical and Computer Engineering at Clarkson University, Potsdam, New York. He received his B.E. in Electronics and Information Engineering in 2000 from the University of Science and Technology of China (USTC), M.S. in Electrical Engineering in 2002 from the University of California, Riverside (UCR), and his Ph.D. in Electrical and Computer Engineering in 2008 from the University of California, Irvine (UCI), respectively. From 2008 to 2012, Dr. Liu was an assistant professor in the Department of Electrical and Computer Engineering at Florida International University (FIU).
Dr. Liu's research has been focusing on the interaction between hardware and system software, especially using low-level hardware information to model the software behavior.
Dr. Liu is a senior member of IEEE and ACM. He is also a member of the IEEE Computer Society, ACM SIGARCH, and ACM SIGMICRO.
Date and Time: Monday, May 13 · 4:00 – 5:00 pm (GMT+00:00) United Kingdom Time
Location: Online (Pre-Registration is Required to Obtain the Meeting Link)
Event Registration Link: https://forms.gle/nzsFUJTSLENiqDJw6
Online Registration Ends May 11 at 04:00 PM (GMT+00:00) United Kingdom Time
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