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Blockchain Technologies: Probability of Double-Spend Attack on a Proof-of-Stake Consensus
Two double-spend attack strategies on a proof-of-stake consensus are considered. For each strategy, the probability of its success is obtained, which depends on the network parameters and the number of confirmation blocks. These results can be used to define how many confirmation blocks a vendor sho...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512294/ https://www.ncbi.nlm.nih.gov/pubmed/34640729 http://dx.doi.org/10.3390/s21196408 |
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author | Karpinski, Mikolaj Kovalchuk, Lyudmila Kochan, Roman Oliynykov, Roman Rodinko, Mariia Wieclaw, Lukasz |
author_facet | Karpinski, Mikolaj Kovalchuk, Lyudmila Kochan, Roman Oliynykov, Roman Rodinko, Mariia Wieclaw, Lukasz |
author_sort | Karpinski, Mikolaj |
collection | PubMed |
description | Two double-spend attack strategies on a proof-of-stake consensus are considered. For each strategy, the probability of its success is obtained, which depends on the network parameters and the number of confirmation blocks. These results can be used to define how many confirmation blocks a vendor should wait after a correspondent transaction before sending goods or services. |
format | Online Article Text |
id | pubmed-8512294 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85122942021-10-14 Blockchain Technologies: Probability of Double-Spend Attack on a Proof-of-Stake Consensus Karpinski, Mikolaj Kovalchuk, Lyudmila Kochan, Roman Oliynykov, Roman Rodinko, Mariia Wieclaw, Lukasz Sensors (Basel) Communication Two double-spend attack strategies on a proof-of-stake consensus are considered. For each strategy, the probability of its success is obtained, which depends on the network parameters and the number of confirmation blocks. These results can be used to define how many confirmation blocks a vendor should wait after a correspondent transaction before sending goods or services. MDPI 2021-09-25 /pmc/articles/PMC8512294/ /pubmed/34640729 http://dx.doi.org/10.3390/s21196408 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Karpinski, Mikolaj Kovalchuk, Lyudmila Kochan, Roman Oliynykov, Roman Rodinko, Mariia Wieclaw, Lukasz Blockchain Technologies: Probability of Double-Spend Attack on a Proof-of-Stake Consensus |
title | Blockchain Technologies: Probability of Double-Spend Attack on a Proof-of-Stake Consensus |
title_full | Blockchain Technologies: Probability of Double-Spend Attack on a Proof-of-Stake Consensus |
title_fullStr | Blockchain Technologies: Probability of Double-Spend Attack on a Proof-of-Stake Consensus |
title_full_unstemmed | Blockchain Technologies: Probability of Double-Spend Attack on a Proof-of-Stake Consensus |
title_short | Blockchain Technologies: Probability of Double-Spend Attack on a Proof-of-Stake Consensus |
title_sort | blockchain technologies: probability of double-spend attack on a proof-of-stake consensus |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512294/ https://www.ncbi.nlm.nih.gov/pubmed/34640729 http://dx.doi.org/10.3390/s21196408 |
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