SSRC Seminar Series - Dr. Kanad Basu

SSRC Seminar Series Web banner 1_0 Dr. Kanad Basu

Dr. Kanad Basu

Assistant Professor, ECE Department, University of Texas at Dallas

 

28th March 2022, 5:00pm - 6:00pm (GST)

 

Title:

Anti-virus hardware: Exploring the new domain in Zero Trust System Security.

Abstract:

Anti-virus software (AVS) tools are used to detect Malware in a system. However, software-based AVS are vulnerable to attacks. A malicious entity can exploit these vulnerabilities to subvert the AVS. Recently, hardware components such as Hardware Performance Counters (HPC) have been used for Malware detection. In this talk, we will discuss HPC-based techniques for improving system security and privacy. Subsequently, we will discuss their pitfalls. Finally, we will present PREEMPT, a zero overhead, high-accuracy, and low-latency technique to detect Malware by re-purposing the embedded trace buffer (ETB), a debug hardware component available in most modern processors. The ETB is used for post-silicon validation and debugging and allows us to control and monitor the internal activities of a chip, beyond what is provided by the Input/Output pins. PREEMPT combines these hardware-level observations with machine learning-based classifiers to preempt Malware before it can cause damage. We will conclude the talk with future research directions and challenges.

Bio:

Kanad Basu received his Ph.D. from the department of Computer and Information Science and Engineering, University of Florida. His thesis was focused on improving signal observability for post-silicon validation. Post-PhD, Kanad worked in various semiconductor companies like IBM and Synopsys. During his Ph.D. days, Kanad interned at Intel. Currently, Kanad is an Assistant Professor at the Electrical and Computer Engineering Department of the University of Texas at Dallas, where he leads the Trustworthy and Intelligent Embedded Systems (TIES) lab. Prior to this, Kanad was an Assistant Research Professor at the Electrical and Computer Engineering Department of NYU. He has authored 1 book, 2 US patents, 2 book chapters, and several peer-reviewed journals and conference articles. Kanad was awarded the ”Best Paper Award” at the International Conference on VLSI Design 2011. Several News agencies have covered his research including NBC Austin and CBS Dallas-Fort Worth. Dr. Kanad’s current research interests are hardware and systems security as well as Deep learning hardware.