Supplementary information for An enhanced block validation framework with efficient consensus for secure consortium blockchains
Article abstract
Consortium blockchains have attracted considerable interest from academia and industry due to their low-cost installation and maintenance. However, typical consortium blockchains can be easily attacked by colluding block validators because of the limited number of miners in the systems. To address this problem, in this article, we propose a novel block validation framework to enhance blockchain security. In the framework, the block validations are assisted and implemented by various lightweight nodes, e.g., edge devices, in addition to the typical blockchain miners. This improves the blockchain security but can cause an increased block validation delay and, thereby, reduced blockchain throughput. To tackle this challenge, we propose an effective method to select lightweight nodes based on their computing powers to maximize the blockchain throughput, and prove the uniqueness of the optimal nodes selection strategy. Security analysis and simulation results from the deployed consortium blockchain platform show that the proposed framework achieves higher throughput and security than the existing consortium blockchain models.
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Funding
National Key R&D Program of China: grant 22021YFF0900300
Key Talent Programs of Guangdong Province: grant 2021QN02X166
National Natural Science Foundation of China (NSFC): grant 72031003
Characteristic Innovation Project: grant 2021KTSCX110 of Guangdong Provincial Department of Education
Academic Centre of Excellence in Cyber Security Research - University of Warwick
Engineering and Physical Sciences Research Council
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UK Research and Innovation
Find out more...NSFC: grant 62102099
NSFC: grant U22A2054
National Research Foundation (NRF) and Infocomm Media Development Authority under the Future Communications Research Development Programme (FCP)
SUTD: grant SRG-ISTD-2021-165
Ministry of Education, Singapore / SMU-SUTD Joint: grant 22-SIS-SMU-048
History
School
- Science
Department
- Computer Science