Huaqiu Long
Papers
1
Total Citations
30
H-Index
1
About
Dr. Huaqiu Long is a leading researcher in the security and risk prediction of intelligent Cyber-Physical-Social Systems (CPSS), with a particular focus on cloud-fog-edge computing architectures. In his highly cited 2020 work, "A Cloud-Fog-Edge Closed-Loop Feedback Security Risk Prediction Method," Dr. Long addresses the escalating security challenges posed by the proliferation of smart devices—including robots, drones, and intelligent sensors—that now dominate the "smart age." His major contribution lies in developing a novel closed-loop feedback framework that enables real-time, proactive security risk prediction across distributed computing layers, bridging the gap between cloud, fog, and edge environments. This work has garnered 30 citations, reflecting its influence in shaping next-generation security protocols for complex, interconnected systems. Dr. Long’s research is pivotal for ensuring the safe deployment of intelligent CPSS in critical applications, from autonomous systems to smart cities. His achievements underscore a commitment to advancing robust, predictive security measures that anticipate threats before they materialize, making him a key figure in the evolving landscape of cyber-physical security.
Research Focus
Key Achievements
Top Papers
- 1A Cloud-Fog-Edge Closed-Loop Feedback Security Risk Prediction Method30 citations · 2020