Sharding Blockchain: Fundamentals and Applications
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Additionally, the authors propose a novel shard member configuration method that leverages proof-of-work and verifiable distributed randomness to guarantee that each shard maintains a sufficient proportion of honest nodes, preventing it from falling below the safety threshold. Furthermore, the authors offer a complete design methodology for creating secure and scalable sharding blockchains. This includes reducing the complexity of intra-shard transaction processing through aggregation-supported multi-signature. The authors ensure optimal sharding of computational, communication, and storage resources within a formal security framework. To facilitate flexible cross-shard transaction processing, the authors introduce a new cross-shard Byzantine fault tolerance protocol.
Lastly, the authors explore practical applications of sharding blockchains in typical scenarios. In the context of zero-trust cloud-edge-end scenarios, the authors demonstrate how sharding blockchains enable scalable data cross-shard sharing. Simultaneously, the authors design a secure and universally applicable cross-domain device authentication scheme.
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Yizhong Liu received his B.S. degree in Electronic and Information Engineering from Beihang University, Beijing, China, in 2014. He received his Ph.D. degree from Beihang University, Beijing, China, in 2021. He is now an assistant professor at the School of Cyber Science and Technology, Beihang University, Beijing, China.
He is supported by the China Association for Science and Technology Young Talent Lifting Project, and he is the principal investigator of six research projects, including the National Natural Science Foundation of China for Young Scholars and the Beijing Natural Science Foundation. He has also participated in five national-level projects, including the National Key R&D Program and the National Natural Science Foundation of China.
His research focuses on cryptography, blockchain, federated learning, and related areas. He has authored or co-authored over 20 research papers as the first or corresponding author in reputable journals and conferences.
Dongyu Li received the B.S. and Ph.D. degrees from Control Science and Engineering, Harbin Institute of Technology, China, in 2016 and 2020. He was a joint Ph.D. student with the Department of Electrical and Computer Engineering, National University of Singapore from 2017 to 2019, and a research fellow with the Department of Biomedical Engineering, National University of Singapore, from 2019 to 2021. He is currently an associate professor with the School of Cyber Science and Technology, Beihang University, China. His research interests include networked system cooperation, adaptive systems, and spacecraft engineering. He has published more than 30 academic papers and has served/been serving as a publication chair of the 15th International Conference on Social Robotic, an invited session chair of the 62nd IEEE Conference on Decision and Control, an associate editor of the 15th International Conference on Intelligent Unmanned Systems, and an active reviewer of many international journals and conferences.
Jianwei Liu is the dean and a professor at the School of Cyber Science and Technology, Beihang University, as well as a doctoral supervisor. His primary research areas include mobile communication network security and integrated space-ground network security. He has published over 200 papers indexed by SCI/EI and has received the First Prize of the National Technological Invention Award. He has authored and edited 9 textbooks, 4 monographs, and 1 translated book, and he has been awarded a national first-class course. Professor Liu has been honored with the Baosteel Outstanding Teacher Special Award, the National Outstanding Teacher in Cybersecurity, the Beijing Teaching Master Award, and the Beijing Excellent Teacher Award.
