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Analysis of Blockchain Selfish Mining Attacks

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Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019 (ISAT 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1050))

Abstract

The paper presents vector of attack on the mechanism of achieving a proof of work consensus, such as the application of selfish mining strategy. The aim of the work was to analyze to what extent these risks may affect the fairness of the cryptocurrency extraction process. This goal was achieved by performing simulations using appropriate models. The aim of the experiment was to check how the choice of parameters affects the distribution of block extraction between network users. We use an algorithm of persistent mining in the pursuit of a longer chain with a modified selfish extraction algorithm.

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References

  1. Eyal, I., Sirer, E.G.: Majority is not enough: Bitcoin mining is vulnerable. Commun. ACM 61(7), 95–102 (2018)

    Article  Google Scholar 

  2. Zheng, Z., Xie, S., Dai, H.N., Wang, H.: Blockchain challenges and opportunities: a survey. Work Pap.–2016 (2016)

    Google Scholar 

  3. Kozlowski, P., Kedziora, M., Marianski, A., Jozwiak, I.: Implementation of Research on the Feasibility of a Sybil Attacks in Blockchain Networks, ICSAI 2019 – in review (2019)

    Google Scholar 

  4. Bitcoin Cash. Bitcoin Cash. https://www.bitcoincash.org/

  5. Nayak, K., et al.: Stubborn mining: generalizing selfish mining and combining with an eclipse attack. In: 2016 IEEE European Symposium on Security and Privacy (EuroS P), pp. 305–320 (2016). https://doi.org/10.1109/eurosp.2016.32

  6. Sapirshtein, A., Sompolinsky, Y., Zohar, A.: Optimal selfish mining strategies in Bitcoin. CoRR abs/1507.06183 (2015). arXiv:1507.06183

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

  8. Fischer, M.J., Lynch, N.A., Paterson, M.S.: Impossibility of distributed consensus with one faulty process. J. ACM 32(2), 374–382 (1985). https://doi.org/10.1145/3149.214121. http://doi.acm.org/10.1145/3149.214121, ISSN 0004-5411

    Article  MathSciNet  Google Scholar 

  9. Lamport, L., Shostak, R., Pease, M.: The Byzantine generals problem. ACM Trans. Program. Lang. Syst. 4(3), 382–401 (1982). https://doi.org/10.1145/357172.357176. http://doi.acm.org/10.1145/357172.357176, ISSN: 0164-0925

    Article  Google Scholar 

  10. Li, W., et al.: Securing proof-of-stake blockchain protocols. In: Garcia-Alfaro, J., et al. (eds.) Data Privacy Management, Cryptocurrencies and Blockchain Technology, pp. 297–315. Springer, Cham (2017). ISBN: 978-3-319-67816-0

    Google Scholar 

  11. Olfati-Saber, R., Fax, J.A., Murray, R.M.: Consensus and cooperation in networked multi-agent systems. Proc. IEEE 95(1), 215–233 (2007). https://doi.org/10.1109/jproc.2006.887293, ISSN: 0018-9219

    Article  Google Scholar 

  12. Quesnelle, J.: On the linkability of Zcash transactions. In: CoRR abs/1712.01210 (2017). arXiv:1712.01210

  13. Zheng, Z., et al.: Blockchain challenges and opportunities: a survey, December 2017

    Google Scholar 

  14. Fanti, G., Viswanath, P.: Deanonymization in the Bitcoin P2P network. In: Guyon, I., et al. (eds.) Advances in Neural Information Processing Systems 30, pp. 1364–1373. Curran Associates, Inc. (2017). http://papersnips.cc/paper/6735-deanonymization-in-the-bitcoin-p2p-network.pdf

  15. Reid, F., Harrigan, M.: An analysis of anonymity in the Bitcoin system. ArXiv e-prints, July 2011. arXiv:1107.4524 [physics.soc-ph]

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland

    Michal Kędziora, Patryk Kozłowski, Michał Szczepanik & Piotr Jóźwiak

Authors
  1. Michal Kędziora
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  2. Patryk Kozłowski
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  3. Michał Szczepanik
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  4. Piotr Jóźwiak
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Corresponding author

Correspondence to Michal Kędziora .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Leszek Borzemski

  2. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Jerzy Świątek

  3. University of Applied Sciences in Nysa, Nysa, Poland

    Zofia Wilimowska

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Kędziora, M., Kozłowski, P., Szczepanik, M., Jóźwiak, P. (2020). Analysis of Blockchain Selfish Mining Attacks. In: Borzemski, L., Świątek, J., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019. ISAT 2019. Advances in Intelligent Systems and Computing, vol 1050. Springer, Cham. https://doi.org/10.1007/978-3-030-30440-9_22

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