https://umass-amherst.zoom.us/j/96561938920
Title:
Security & Perception Systems
Abstract:
The advent of the Internet-of-Everything era has opened the doors to security vulnerabilities never considered before. Devices are more and more connected and at the same time more and more autonomous. Traditional security approaches tend to consider software applications, information processing, and hardware infrastructure are separated entities, dominated by different assumptions and security principles.
I investigate how hardware-based vulnerabilities break these traditional schemes by generating a series of unexpected security interactions. These interactions encomprise both electronic components and high-level software application governing the system automatic decisions. In this talk, I will describe security vulnerabilities of sensing technologies that happen at the boundary between hardware electronics, physics, and computer science. I will show how these interactions can compromise the integrity, availability, and confidentiality of everyday IoT devices and critical cyber-physical systems. Then, I will show how sensing devices can perceive more than what we normally expect, opening the door to novel and unexpected attack vectors.
Short Bio:
Sara Rampazzi, Ph.D., is an Assistant Professor in the Department of Computer & Information Science & Engineering (CISE) at the University of Florida. Her research areas include cyber-physical systems security, embedded systems design, modeling, and simulation with applications in Healthcare, Automotive, and the Internet of Things. Dr. Rampazzi's work focuses on investigating security risks and developing hardware and software defense strategies against hardware-based and physics-based attacks. Dr. Rampazzi's work on injecting inaudible and invisible commands to smart home devices has been covered by CNN, New York Times, Ars Technica, Wired, ABC and NBC News, and other media outlets.
Dr. Rampazzi recently received the RAPID SaTC COVID19 Award from the National Science Foundation to tackles the urgent needs to prevent the spread of the virus COVID-19 with decontaminated, reused masks. The project will define easily deployable, secure, self-sustainable, scalable sensor technology for safe decontamination of N95 masks, to be used by rural hospitals and under-resourced facilities around the world under emergency masks shortage.