Skip to main content

When Bitcoin Mining Pools Run Dry

A Game-Theoretic Analysis of the Long-Term Impact of Attacks Between Mining Pools

  • Conference paper
  • First Online:
Financial Cryptography and Data Security (FC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 8976))

Included in the following conference series:

Abstract

Bitcoin has established itself as the most successful cryptocurrency with adoption seen in many commercial scenarios. While most stakeholders have jointly benefited from the growing importance of Bitcoin, conflicting interests continue to negatively impact the ecosystem. In particular, incentives to derive short-term profits from attacks on mining pools threaten the long-term viability of Bitcoin.

We develop a game-theoretic model that allows us to capture short-term as well as long-term impacts of attacks against mining pools. Using this model, we study the conditions under which the mining pools have no incentives to launch attacks against each other (i.e., peaceful equilibria), and the conditions under which one mining pool is marginalized by attacks (i.e., one-sided attack equilibria). Our results provide guidelines for ensuring that the Bitcoin ecosystem remains long-term viable and trustworthy.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Steady-state equilibrium analysis has been used relatively sparingly in the security economics literature (see, for example, [1]), while it is a frequently employed solution concept in other areas of economics.

References

  1. Bensoussan, A., Kantarcioglu, M., Hoe, S.R.C.: A game-theoretical approach for finding optimal strategies in a botnet defense model. In: Alpcan, T., Buttyán, L., Baras, J.S. (eds.) GameSec 2010. LNCS, vol. 6442, pp. 135–148. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  2. Böhme, R., Christin, N., Edelman, B., Moore, T.: Bitcoin. J. Econ. Perspect. (forthcoming)

    Google Scholar 

  3. Christin, N., Grossklags, J., Chuang, J.: Near rationality and competitive equilibria in networked systems. In: Proceedings of the ACM SIGCOMM Workshop on Practice and Theory of Incentives in Networked Systems, pp. 213–219 (2004)

    Google Scholar 

  4. Clark, D., Konrad, K.: Asymmetric conflict: weakest link against best shot. J. Conflict Resolut. 51(3), 457–469 (2007)

    Article  Google Scholar 

  5. Fultz, N., Grossklags, J.: Blue versus red: towards a model of distributed security attacks. In: Dingledine, R., Golle, P. (eds.) FC 2009. LNCS, vol. 5628, pp. 167–183. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  6. Goldfarb, A.: The medium-term effects of unavailability. Quant. Mark. Econ. 4(2), 143–171 (2006)

    Article  Google Scholar 

  7. Grossklags, J., Christin, N., Chuang, J.: Secure or insure? A game-theoretic analysis of information security games. In: Proceedings of the 2008 World Wide Web Conference (WWW 2008), pp. 209–218, April 2008

    Google Scholar 

  8. Huang, D.Y., Dharmdasani, H., Meiklejohn, S., Dave, V., Grier, C., McCoy, D., Savage, S., Weaver, N., Snoeren, A.C., Levchenko, K.: Botcoin: monetizing stolen cycles. In: Proceedings of the 2014 Network and Distributed System Security Symposium (NDSS) (2014)

    Google Scholar 

  9. Johnson, B., Laszka, A., Grossklags, J., Vasek, M., Moore, T.: Game-theoretic analysis of DDoS attacks against bitcoin mining pools. In: Böhme, R., Brenner, M., Moore, T., Smith, M. (eds.) FC 2014 Workshops. LNCS, vol. 8438, pp. 72–86. Springer, Heidelberg (2014)

    Google Scholar 

  10. Laszka, A., Felegyhazi, M., Buttyán, L.: A survey of interdependent information security games. ACM Comput. Surv. 47(2), 23:1–23:38 (2014)

    Article  Google Scholar 

  11. Li, Z., Liao, Q., Blaich, A., Striegel, A.: Fighting botnets with economic uncertainty. Secur. Commun. Networks 4(10), 1104–1113 (2011)

    Article  Google Scholar 

  12. Litke, P., Stewart, J.: BGP hijacking for cryptocurrency profit, August 2014. http://www.secureworks.com/cyber-threat-intelligence/threats/bgp-hijacking-for-cryptocurrency-profit/

  13. Liu, P., Zang, W., Yu, M.: Incentive-based modeling and inference of attacker intent, objectives, and strategies. ACM Trans. Inf. Syst. Secur. 8(1), 78–118 (2005)

    Article  Google Scholar 

  14. Manshaei, M., Zhu, Q., Alpcan, T., Bacşar, T., Hubaux, J.P.: Game theory meets network security and privacy. ACM Comput. Surv. 45(3), 25:1–25:39 (2013)

    Article  Google Scholar 

  15. Nakamoto, S.: Bitcoin: A peer-to-peer electronic cash system (2008). http://bitcoin.org/bitcoin.pdf

  16. Plohmann, D., Gerhards-Padilla, E.: Case study of the miner botnet. In: Proceedings of the 4th International Conference on Cyber Conflict (CYCON), pp. 345–360 (2012)

    Google Scholar 

  17. Schechter, S.E., Smith, M.D.: How much security is enough to stop a thief? In: Wright, R.N. (ed.) FC 2003. LNCS, vol. 2742, pp. 122–137. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  18. Schelling, T.: The Strategy of Conflict. Oxford University Press, Oxford (1965)

    Google Scholar 

  19. Spyridopoulos, T., Karanikas, G., Tryfonas, T., Oikonomou, G.: A game theoretic defence framework against DoS/DDoS cyber attacks. Comput. Secur. 38, 39–50 (2013)

    Article  Google Scholar 

  20. Vasek, M., Thornton, M., Moore, T.: Empirical analysis of denial-of-service attacks in the bitcoin ecosystem. In: Böhme, R., Brenner, M., Moore, T., Smith, M. (eds.) FC 2014 Workshops. LNCS, vol. 8438, pp. 57–71. Springer, Heidelberg (2014)

    Google Scholar 

  21. Wu, Q., Shiva, S., Roy, S., Ellis, C., Datla, V.: On modeling and simulation of game theory-based defense mechanisms against DoS and DDoS attacks. In: Proceedings of the 2010 Spring Simulation Multiconference, pp. 159:1–159:8 (2010)

    Google Scholar 

Download references

Acknowledgments

We thank the reviewers for their detailed feedback. This work was supported in part by the National Science Foundation under Award CNS-1238959.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Aron Laszka .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 International Financial Cryptography Association

About this paper

Cite this paper

Laszka, A., Johnson, B., Grossklags, J. (2015). When Bitcoin Mining Pools Run Dry. In: Brenner, M., Christin, N., Johnson, B., Rohloff, K. (eds) Financial Cryptography and Data Security. FC 2015. Lecture Notes in Computer Science(), vol 8976. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48051-9_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-48051-9_5

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-48050-2

  • Online ISBN: 978-3-662-48051-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics