Papers
4
Total Citations
98
H-Index
4
About
Hongyi Pu is a leading researcher in the security of cyber-physical systems, with a focused expertise on the vulnerabilities and defenses of industrial robots. His work has been instrumental in exposing the unique attack surfaces of these critical manufacturing components, particularly their susceptibility to replay and deception attacks. Pu’s research demonstrates how adversaries can manipulate robot operations by injecting malicious code while simultaneously feeding false, pre-recorded movement data to monitoring systems to evade detection. To counter these threats, he pioneered innovative defense mechanisms, including power fingerprinting and movement fingerprinting, which detect anomalies by analyzing subtle physical signatures rather than relying solely on network data. His highly cited 2022 paper, “Security of Industrial Robots,” which has garnered 49 citations, provides a comprehensive taxonomy of vulnerabilities, attacks, and mitigations, serving as a foundational reference for the field. Pu’s contributions, spanning from his 2020 work on power-based detection to his 2023 “CORMAND2” deception attack analysis, have significantly advanced the understanding of how to secure automated manufacturing systems in the age of the Industrial Internet of Things.
Research Focus
Key Achievements
Top Papers
- 1Security of Industrial Robots: Vulnerabilities, Attacks, and Mitigations49 citations · 2022
- 2Fingerprinting Movements of Industrial Robots for Replay Attack Detection20 citations · 2021
- 3Detecting replay attacks against industrial robots via power fingerprinting19 citations · 2020
- 4CORMAND2: A Deception Attack Against Industrial Robots10 citations · 2023