Pool Strategies Selection in PoW-Based Blockchain Networks: Game-Theoretic Analysis Article Swipe
YOU?
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· 2019
· Open Access
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· DOI: https://doi.org/10.1109/access.2018.2890391
In proof-of-work-based (PoW-based) blockchain networks, the miners participate in a crypto-puzzle solving competition to win the reward by publishing a new block. Open mining pools attract a large number of miners for solving difficult problems together. Although the open strategy is likely to be more efficient, it makes pools susceptible to attack at the same time. In this paper, we present a game-theoretic analysis of mining pool strategy selection in order to explore the trade-off between the efficiency of openness and the vulnerability of attacks in a PoW-based blockchain network. We first model the pool mining process as a two-stage game, wherein the pools might decide whether to open or not and to attack or not. Based on the two-stage game model, we analyze the Nash equilibrium and the evolutionary stability of the mining games among pools, which uncovers the pool selection dynamics of PoW-based blockchain networks. In particular, we find that the attack behavior is the norm for a weak pool and triggers lower expected utilities when punishing the attacks more severely. Numerical simulations also support our theoretical findings as well as demonstrate the stability of the pools' strategy selection.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2018.2890391
- https://ieeexplore.ieee.org/ielx7/6287639/8600701/08599183.pdf
- OA Status
- gold
- Cited By
- 33
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2907723680
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2907723680Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2018.2890391Digital Object Identifier
- Title
-
Pool Strategies Selection in PoW-Based Blockchain Networks: Game-Theoretic AnalysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-01-01Full publication date if available
- Authors
-
Yue Wang, Changbing Tang, Feilong Lin, Zhonglong Zheng, Zhongyu ChenList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2018.2890391Publisher landing page
- PDF URL
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https://ieeexplore.ieee.org/ielx7/6287639/8600701/08599183.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://ieeexplore.ieee.org/ielx7/6287639/8600701/08599183.pdfDirect OA link when available
- Concepts
-
Computer science, Blockchain, Nash equilibrium, Proof-of-work system, Game theory, Selection (genetic algorithm), Openness to experience, Transparency (behavior), Computer security, Mathematical economics, Artificial intelligence, Mathematics, Social psychology, PsychologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
33Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 4, 2023: 6, 2022: 8, 2021: 7Per-year citation counts (last 5 years)
- References (count)
-
48Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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