Mining competition in a multi-cryptocurrency ecosystem at the network edge: A congestion game approach - Archive ouverte HAL Access content directly
Journal Articles ACM SIGMETRICS Performance Evaluation Review Year : 2019

Mining competition in a multi-cryptocurrency ecosystem at the network edge: A congestion game approach

(1, 2, 3) , (4) , (5) , (1, 3) , (1, 3) , (6)
1
2
3
4
5
6

Abstract

We model the competition over several blockchains characterizing multiple cryptocurrencies as a non-cooperative game. Then, we specialize our results to two instances of the general game, showing properties of the Nash equilibrium. In particular, leveraging results about congestion games, we establish the existence of pure Nash equilibria and provide efficient algorithms for finding such equilibria.
Fichier principal
Vignette du fichier
camera_socca.pdf (233.05 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01906954 , version 1 (28-10-2018)

Identifiers

Cite

Eitan Altman, Alexandre Reiffers-Masson, Daniel Sadoc Menasché, Mandar Datar, Swapnil Dhamal, et al.. Mining competition in a multi-cryptocurrency ecosystem at the network edge: A congestion game approach. ACM SIGMETRICS Performance Evaluation Review, 2019, 46 (3), pp.114-117. ⟨10.1145/3308897.3308950⟩. ⟨hal-01906954⟩
476 View
675 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More