Lianpeng Li

Beijing Information Science & Technology University, University of Science and Technology Beijing

Papers

Total Citations

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About

Dr. Lianpeng Li is a leading researcher at the intersection of cybersecurity and industrial robotics, specializing in the protection of critical cyber-physical systems. His work is foundational to securing the Industrial Internet of Things (IIoT), with a particular focus on heavy-duty and industrial robots—systems increasingly vulnerable to sophisticated, targeted attacks. Dr. Li’s major contributions include the development of a trustworthy security model for IIoT attacks on industrial robots, a highly cited work (12 citations) that provides a robust framework for threat mitigation. He is also renowned for pioneering the Improved Deep Belief Networks (IDBN) Dynamic Model, a novel detection and mitigation mechanism designed to counter both cyber-domain and physical-domain attacks on heavy-duty robots. This influential 2018 paper (8 citations) addresses one of the hardest-hit areas in modern automation. Dr. Li’s research is critical for ensuring the safe and resilient operation of automated manufacturing and heavy machinery, making him a key voice in the evolving field of industrial cybersecurity.