Haiyuan Shen

Papers

Total Citations

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About

Haiyuan Shen is a leading researcher in cyber-physical-social systems (CPSS) security, with a focus on cloud-fog-edge computing architectures. Their most cited work, “A Cloud-Fog-Edge Closed-Loop Feedback Security Risk Prediction Method” (2020, 30 citations), introduces a novel framework that dynamically anticipates and mitigates security threats in intelligent environments. This contribution is critical as smart devices—including robots, drones, and intelligent sensors—become central to modern life, exposing new vulnerabilities in interconnected systems. Shen’s research bridges theoretical risk modeling with practical, closed-loop feedback mechanisms, enabling real-time security adjustments across distributed computing layers. By addressing the unique challenges of Intelligent CPSS, such as data integrity and attack propagation, their work has influenced both academic cybersecurity studies and industrial safety protocols. Shen’s achievements highlight a commitment to safeguarding the “smart age,” making their research essential for students and engineers developing resilient, next-generation autonomous systems.