Hongbing CHENG is currently a Professor in college of computer Science, Zhejiang University of Technology. He was a postdoctoral fellow of the Department of Computer Science and Technology of Nanjing University; was high-level talent of Six Talent Peaks in Jiangsu Province. At the same time, he is the Distinguished Professor of Huawei Network Security Foreign Training .Prof. CHENG have been to University of Manchester, University of Stavanger and Deakin University as Visiting scholar, visiting professor. He is the Team leader of Information and Privacy Protection Research, and has published numerous research papers in high-quality international journals and conferences. Prof. Cheng served as invited editor of several international journals in some international conferences; and has been invited to give keynote speeches and chair committees, reviewed papers for many international journals and conferences. His research interests include blockchain, cryptography, privacy preserving and information security, computer communications and cloud computing security.
Research direction: broaden horizons, cultivate logical thinking ability, and do real and practical research work.
 Blockchain security:
 Solve blockchain systems, smart contracts, and cross chain security and scalability issues.
 Skills: blockchain system knowledge, Program analysis technology, Cryptography technology
 
 Machine Learning Privacy and Security:
 Solve potential privacy and security problems in machine learning architecture, including big language model   and Collaborative learning
 Skills: machine learning technology, Trusted execution environment, Cryptography technology
 
Network anomaly detection:
  Addressing network security related issues, including attack detection, evolution, and countermeasures
  Skills: Basic network knowledge, machine learning technology
  
Internet of Things security and privacy protection:
 Addressing IoT security, including device authentication threats, device authorization threats, and privacy   protection
 Skills: embedded system knowledge, Program analysis technology