Autore: Liehuang Zhu

Meng Shen is an Associate Professor at the School of Computer Science, Beijing Institute of Technology, China. He received his Ph.D. degree from the Department of Computer Science and Technology at Tsinghua University, Beijing, China. His research interests include blockchain applications, data privacy, machine learning security, and cloud security. He has authored over 50 papers in top-level journals and conferences, such as ACM SIGCOMM, IEEE JSAC, and IEEE TIFS. He has guest edited special issues on emerging technologies for data security and privacy in IEEE Network and IEEE Internet-of-Things Journal. He received the Best Paper Runner-Up Award at IEEE IPCCC 2014. He is a member of IEEE and ACM. Liehuang Zhu is a full Professor at the School of Computer Science, Beijing Institute of Technology. He has been selected into the P.R. China Ministry of Education Program for New Century Excellent Talents in University. His research interests include Internet of Things, cloud computing security, and Internet and mobile security. He has published over 60 SCI-indexed research papers in these areas, as well as a book with Springer. He serves on the editorial boards of three international journals: IEEE Internet-of-Things Journal, IEEE Network, and IEEE Transactions on Vehicular Technology. He won the Best Paper Award at IEEE/ACM IWQo S 2017 and IEEE Trust Com 2018. Ke Xu holds a Ph.D. from the Department of Computer Science & Technology at Tsinghua University, Beijing, China, where he serves as a Full Professor. He has published more than 200 technical papers and holds 11 US patents in the areas of next-generation Internet, blockchain systems, Internet of Things (Io T), and network security. He is a member of the ACM and senior member of the IEEE. He has guest edited several special issues of IEEE and Springer journals, and he also published the book ‘Internet Resource Pricing Models’ with Springer in 2013. He serves as an editor of the IEEE Io T Journal and chairs the IEEE/ACM IWQo S steering committee (2018-2021).