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Simulation Method for Blockchain Systems with a Public Chain
Sensors, Volume: 22, Issue: 24, Start page: 9750
Swansea University Author: Yang Liu
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© 2022 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
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DOI (Published version): 10.3390/s22249750
Abstract
The potential security problems of blockchain technology are constantly restricting the development process of related industrial applications. The cost of deploying a blockchain system in a real environment to conduct research on security issues is relatively high, and the related security analysis...
Published in: | Sensors |
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ISSN: | 1424-8220 |
Published: |
MDPI AG
2022
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa67395 |
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Abstract: |
The potential security problems of blockchain technology are constantly restricting the development process of related industrial applications. The cost of deploying a blockchain system in a real environment to conduct research on security issues is relatively high, and the related security analysis and verification are also destructive and irreproducible. Therefore, based on the idea of layered design, this paper proposes a blockchain system simulation platform. The blockchain system is divided into four layers in the simulation platform: the consensus layer, network layer, contract layer, and storage layer. In the consensus layer, the problem of computing resource waste is solved. In the network layer, a peer-to-peer network topology simulation is implemented. In the storage layer, the problem of redundant storage is solved. In the contract layer, the contract replay speed is accelerated. Finally, a prototype of an efficient blockchain simulation system is implemented based on the above methods. |
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Keywords: |
blockchain; simulation platform; public chain; smart contract |
College: |
Faculty of Science and Engineering |
Funders: |
This research was funded by the National Key Research and Development Program of China (No. 2020YFB1005805), Peng Cheng Laboratory Project (Grant No. PCL2021A02), Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies (2022B1212010005), and Shenzhen Stable Supporting Program (General Project) (No. GXWD20201230155427003-20200821160539001). |
Issue: |
24 |
Start Page: |
9750 |