Guo Zeng Wu
Papers
1
Total Citations
8
H-Index
1
About
Guo Zeng Wu is a leading researcher in industrial control system (ICS) security, with a focus on dynamic risk assessment and cyber-physical system protection. His most-cited work introduces a three-stage dynamic assessment framework based on a Weighted Hidden Markov Model (W-HMM), which addresses the growing vulnerabilities in ICS due to the integration of cloud computing, artificial intelligence, and big data analytics. This framework provides a systematic method to evaluate evolving security risks, helping to safeguard critical infrastructure from cyberattacks that threaten corporate capital and operational continuity. With 8 citations to date, this paper has already influenced discussions on proactive ICS defense. Wu’s research is particularly notable for bridging theoretical modeling with practical industrial applications, offering a scalable solution for real-time security monitoring. His contributions are essential for students and professionals working at the intersection of cybersecurity, automation, and industrial engineering, as they provide a structured approach to mitigating risks in increasingly connected and data-driven industrial environments.
Research Focus
Key Achievements
Top Papers
- 1