Cryptocurrency is accounting coordination: Selfish mining and double spending in a simple mining game
Fernando Barros,
Jefferson Bertolai and
Matheus Carrijo
Mathematical Social Sciences, 2023, vol. 123, issue C, 25-50
Abstract:
The fundamental monetary innovation embedded into cryptocurrencies is accounting coordination. Decentralized management of digital money’s accounting by a network of computers is achieved as a Nash equilibrium of a coordination game among the network’s nodes: the so called miners. Equilibrium analysis demands allowing miners to secretly update their accounting, i.e., to privately build multiple blocks of transactions and to deviate from the longest chain rule. We formalize such reasoning by proposing an accounting coordination game inspired on the Bitcoin design. In particular, by proposing a model that explicitly tells apart mining costs related to energy consumption from those related to computational capacity, we are able to study how symmetric equilibrium existence depends on well known parameters, like the average time for updating accounting records and the rewards collected from mining (accounting) activities. It is shown that the (off-equilibrium) possibility of double spending makes the attractiveness of the equilibrium strategy a decreasing function of the average time for updating accounting records.
Keywords: Cryptocurrency; Accounting management; Coordination game (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165489623000173
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:matsoc:v:123:y:2023:i:c:p:25-50
DOI: 10.1016/j.mathsocsci.2023.02.004
Access Statistics for this article
Mathematical Social Sciences is currently edited by J.-F. Laslier
More articles in Mathematical Social Sciences from Elsevier
Bibliographic data for series maintained by Catherine Liu ().