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Mitigation of block withholding attack based on zero-determinant strategy
This article focuses on the mining dilemma of block withholding attack between the mining pools in the bitcoin system. In order to obtain the higher revenue, the rational mining pool usually chooses an infiltration attack, that is, the pool will falls into the mining dilemma of the PoW consensus alg...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455053/ https://www.ncbi.nlm.nih.gov/pubmed/36092016 http://dx.doi.org/10.7717/peerj-cs.997 |
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author | Ren, Min Guo, Hongfeng Wang, Zhihao |
author_facet | Ren, Min Guo, Hongfeng Wang, Zhihao |
author_sort | Ren, Min |
collection | PubMed |
description | This article focuses on the mining dilemma of block withholding attack between the mining pools in the bitcoin system. In order to obtain the higher revenue, the rational mining pool usually chooses an infiltration attack, that is, the pool will falls into the mining dilemma of the PoW consensus algorithm. Thus the article proposes to apply zero-determinant strategies for optimizing the behavior selection of the mining pool under PoW consensus mechanism to increase the total revenues of the system, so as to solve the mining dilemma. After theoretically studying the set and extortionate strategy of zero-determinant, the article devises an adaptive zero-determinant strategy that the pool can change the corporation probability of the next round based on its previous revenues. To verify the effectiveness of zero-determinant strategies, based on the actual revenue of the mining pool defined and deduced in the paper, it simulates 30 sets of game strategies to illustrate the revenue variation of the mining pools. The simulation results show that the three zero-determinant strategies can effectively improve the convergence rate of cooperation, mitigate block withholding attack and maximize the total revenues of the system. Compared with the set and extortionate strategy, the adaptive strategy can ensure more stability and more revenue. |
format | Online Article Text |
id | pubmed-9455053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94550532022-09-09 Mitigation of block withholding attack based on zero-determinant strategy Ren, Min Guo, Hongfeng Wang, Zhihao PeerJ Comput Sci Scientific Computing and Simulation This article focuses on the mining dilemma of block withholding attack between the mining pools in the bitcoin system. In order to obtain the higher revenue, the rational mining pool usually chooses an infiltration attack, that is, the pool will falls into the mining dilemma of the PoW consensus algorithm. Thus the article proposes to apply zero-determinant strategies for optimizing the behavior selection of the mining pool under PoW consensus mechanism to increase the total revenues of the system, so as to solve the mining dilemma. After theoretically studying the set and extortionate strategy of zero-determinant, the article devises an adaptive zero-determinant strategy that the pool can change the corporation probability of the next round based on its previous revenues. To verify the effectiveness of zero-determinant strategies, based on the actual revenue of the mining pool defined and deduced in the paper, it simulates 30 sets of game strategies to illustrate the revenue variation of the mining pools. The simulation results show that the three zero-determinant strategies can effectively improve the convergence rate of cooperation, mitigate block withholding attack and maximize the total revenues of the system. Compared with the set and extortionate strategy, the adaptive strategy can ensure more stability and more revenue. PeerJ Inc. 2022-07-21 /pmc/articles/PMC9455053/ /pubmed/36092016 http://dx.doi.org/10.7717/peerj-cs.997 Text en © 2022 Ren et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Scientific Computing and Simulation Ren, Min Guo, Hongfeng Wang, Zhihao Mitigation of block withholding attack based on zero-determinant strategy |
title | Mitigation of block withholding attack based on zero-determinant strategy |
title_full | Mitigation of block withholding attack based on zero-determinant strategy |
title_fullStr | Mitigation of block withholding attack based on zero-determinant strategy |
title_full_unstemmed | Mitigation of block withholding attack based on zero-determinant strategy |
title_short | Mitigation of block withholding attack based on zero-determinant strategy |
title_sort | mitigation of block withholding attack based on zero-determinant strategy |
topic | Scientific Computing and Simulation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455053/ https://www.ncbi.nlm.nih.gov/pubmed/36092016 http://dx.doi.org/10.7717/peerj-cs.997 |
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