Yuanda Zhu
Papers
1
Total Citations
56
H-Index
1
About
Yuanda Zhu is a leading researcher at the intersection of cyber-physical systems (CPS) security and hardware-level anomaly detection. His most influential work, "REMOTE: Robust External Malware Detection Framework by Using Electromagnetic Signals" (2019, 56 citations), pioneers a non-intrusive approach to identifying malware in resource-constrained CPS devices by analyzing their electromagnetic emanations. This breakthrough addresses a critical gap: traditional antivirus software is often too heavy for embedded systems, leaving them vulnerable to stealthy attacks. Zhu’s framework demonstrates that external, passive monitoring can detect malicious activity without burdening the device’s limited performance, memory, or energy reserves. By leveraging side-channel signals, his work opens new avenues for securing critical infrastructure—from industrial controllers to medical devices—where even a minor compromise can have catastrophic physical consequences. His contributions have been widely cited by researchers exploring hardware-assisted security, electromagnetic fingerprinting, and lightweight CPS defense mechanisms. Zhu’s research not only advances theoretical understanding but also offers practical, deployable solutions for protecting the increasingly connected physical world.
Research Focus
Key Achievements
Top Papers
- 1