IoT

Advancing Security Red-Teaming in Cyber-Physical Systems via AI-Driven Side-Channel Analysis

Tao Ni, Postdoctoral Fellow, Department of Computer Science, City University of Hong Kong, Hong Kong

Apr 23, 12:00 - 13:00

B9 L3 R3223

cybersecurity IoT cyber-physical systems

This talk will systematically reveal security and privacy vulnerabilities in cyber-physical systems by characterizing contactless side-channel attacks on various components and proposing effective defense methods using hardware-software co-design and AI-driven techniques, while also outlining future research directions for developing secure and privacy-preserving CPS platforms.

Mohamed Ads

Visiting Student (former), King Abdullah University of Science and Technology

IoT Telecommunications Smart Wireless Massive Systems LED Wireless Communication Systems artificial intelligence machine learning Cyber Security

Visiting Student, King Abdullah University of Science and Technology

Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

embedded systems IoT energy efficiency machine learning artificial intelligence intrusion detection computer networks

Ahsan Mehmood

Intern (former), Information Science Lab

IoT Biomedical Signal Processing healthcare Digital signal processing machine learning

Visiting student at King Abdullah University of Science and Technology (KAUST).