Bhattacherjee, Sanjay and Sarkar, Palash (2017): Cryptocurrency Voting Games.
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Abstract
This work shows that weighted majority voting games occur in cryptocurrencies. In particular, two such games are highlighted. The first game, which we call the Rule Game, pertains to the scenario where the entities in the system engage in a voting procedure to accept or reject a change of rules. The second game, which we call the Attack Game, refers to the scenario where a group of entities in a cryptocurrency system can form a coalition to engage in double spending. For the Rule Game we provide analysis to argue that the Coleman’s preventive power measure is the appropriate tool for measuring a player’s influence in the game while for the Attack Game, we define a notion of stability based on the notion of minimal winning coalitions. For both the Rule Game and the Attack Game, we show how to analyse the games based on a snapshot of real world data for Bitcoin which is presently the most popular of all the cryptocurrencies.
Item Type: | MPRA Paper |
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Original Title: | Cryptocurrency Voting Games |
Language: | English |
Keywords: | Voting games, Cryptocurrency, Bitcoin, preventive power, stability |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General C - Mathematical and Quantitative Methods > C7 - Game Theory and Bargaining Theory > C71 - Cooperative Games D - Microeconomics > D7 - Analysis of Collective Decision-Making > D72 - Political Processes: Rent-Seeking, Lobbying, Elections, Legislatures, and Voting Behavior D - Microeconomics > D7 - Analysis of Collective Decision-Making > D74 - Conflict ; Conflict Resolution ; Alliances ; Revolutions Y - Miscellaneous Categories > Y1 - Data: Tables and Charts > Y10 - Data: Tables and Charts Y - Miscellaneous Categories > Y2 - Introductory Material > Y20 - Introductory Material Y - Miscellaneous Categories > Y8 - Related Disciplines > Y80 - Related Disciplines |
Item ID: | 83592 |
Depositing User: | Dr. Sanjay Bhattacherjee |
Date Deposited: | 06 Jan 2018 12:22 |
Last Modified: | 17 Oct 2019 20:10 |
References: | Banzhaf, J. F. (1965). Weighted voting doesn’t work: A mathematical analysis. Rutgers Law Review, 19:317–343. Chakravarty, S. R., Mitra, M., and Sarkar, P. (2015). A Course on Cooperative Game Theory. Cambridge University Press. Coleman, J. S. (1971). Control of collectives and the power of a collectivity to act. In Lieberma, B., editor, Social Choice, pages 269–298. Gordon and Breach, New York. Deegan, J. and Packel, E. W. (1978). A new index of power for simple n-person games. International Journal of Game Theory, 7(2):113–123. Eyal, I. and Sirer, E. G. (2014). Majority is not enough: Bitcoin mining is vulnerable. In Christin, N. and Safavi-Naini, R., editors, Financial Cryptography and Data Security - 18th International Conference, FC 2014, Christ Church, Barbados, March 3-7, 2014, Revised Selected Papers, volume 8437 of Lecture Notes in Computer Science, pages 436–454. Springer. Felsenthal, D. S. and Machover, M. (1998). The Measurement of Voting Power. Edward Elgar, Cheltenham. Fisch, B. A., Pass, R., and A.Shelat (2017). Socially optimal mining pools. In Devanur, N. R. and Lu, P., editors, Proceedings of the 2017 International Conference on Web and Internet Economics, WINE, 2017, Bengaluru, India, December 17–20, 2017, volume 10660 of Lecture Notes in Computer Science, pages 205–218. Springer. Holler, M. J. (1982). Forming coalitions and measuring voting power. Political Studies, 30(2):262–271. Holler, M. J. and Packel, E. W. (1983). Power, luck and the right index. Journal of Economics, 43(1):21–29. Kiayias, A., Koutsoupias, E., Kyropoulou, M., and Tselekounis, Y. (2016). Blockchain mining games. In Conitzer, V., Bergemann, D., and Chen, Y., editors, Proceedings of the 2016 ACM Conference on Economics and Computation, EC ’16, Maastricht, The Netherlands, July 24-28, 2016, pages 365–382. ACM. Kroll, J., Davey, I., and Felten, E. W. (2013). The economics of Bitcoin mining, or Bitcoin in the presence of adversaries. In Workshop on the Economics of Information Security. Lewenberg, Y., Bachrach, Y., Sompolinsky, Y., Zohar, A., and Rosenschein, J. S. (2015). Bitcoin mining pools: A cooperative game theoretic analysis. In Weiss, G., Yolum, P., Bordini, R. H., and Elkind, E., editors, Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015, Istanbul, Turkey, May 4-8, 2015, pages 919–927. ACM. Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. https://bitcoin.org/bitcoin.pdf. Narayanan, A., Bonneau, J., Felten, E. W., Miller, A., and Goldfeder, S. (2016). Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction. Princeton University Press. Shapley, L. S. (1953). A value for n-person games. In Kuhn, H. W. and Tucker, A. W., editors, Contributions to the Theory of Games II (Annals of Mathematics Studies), pages 307–317. Princeton University Press. Shapley, L. S. and Shubik, M. J. (1954). A method for evaluating the distribution of power in a committee system. American Political Science Review, 48:787–792. Taaki, A. (2011). Bitcoin Improvement Proposal 1. https://github.com/bitcoin/bips/blob/master/bip-0001.mediawiki, created on 19-08-2011. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/83592 |