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

4
H-Index
4
Papers
98
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Security of Industrial Robots: Vulnerabilities, Attacks, and Mitigations
49 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Zhejiang University of Technology, Zhejiang University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago