Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29081
Title: A Performance Comparison of Post-Quantum Algorithms in Blockchain
Authors: Gan, L
Yokubov, B
Keywords: blockchain;post-quantum blockchain;distributed database;digital signature;public-key cryptography
Issue Date: 23-Sep-2022
Publisher: The British Blockchain Association
Citation: Gan, L. and Yokubov, B. (2023) 'A Performance Comparison of Post-Quantum Algorithms in Blockchain', The Journal of The British Blockchain Association, 6 (1), 1, pp. 1 - 10. doi: 10.31585/jbba-6-1-(1)2023.
Abstract: Blockchain and other Distributed Ledger Technologies have triggered widespread research and interest. This is due to their ability to create redundant, transparent, and accountable connections in various application domains while utilising asymmetric cryptography, digital signature, and hash functions. However, the current blockchain system exhibits vulnerability to attacks, especially those staged and actualised using quantum computers leveraging Grover’s and Shor’s algorithms. There is a need to examine the various algorithms of digital signatures, post-quantum generations of public-key cryptography, and their performance to gain insights into the most suitable way to address the issue. In our review, we examine the performance of different post-quantum public-key generation and digital signature algorithms in blockchain and provide a performance comparison of computing time and memory usage. The research presented here includes application domains where post-quantum blockchain may be used.
URI: https://bura.brunel.ac.uk/handle/2438/29081
DOI: https://doi.org/10.31585/jbba-6-1-(1)2023
ISSN: 2516-3949
Other Identifiers: ORCiD: Lu Gan https://orcid.org/0000-0003-1056-7660
1
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 2022 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).599.31 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons