Abstract
Blockchain voting can bring many practical benefits. It is said that blockchain technology represents a revolution in security and transparency that makes electronic voting possible. It will undoubtedly have an unexpected and far-reaching impact on future democracy. Electronic voting can accelerate, simplify and reduce the cost of elections, and even lead to more participation and development into stronger democracies. Firstly, this paper analyses the problems existing in the current blockchain voting system, then introduces the concept and principle of Conflux consensus mechanism. Based on blockchain technology and ring signature, a large-scale voting electronic voting scheme integrating the advantages of Conflux consensus mechanism with blockchain voting system is proposed, which is decentralized, self-managed, non-interactive and free of charge.
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References
McCorry, P., Shahandashti, S.F., Hao, F.: A smart contract for boardroom voting with maximum voter privacy. In: Kiayias, A. (ed.) Financial Cryptography and Data Security, pp. 357–375. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-70972-7_20
Ethereum Wiki: Ethereum. Light Client Protocol (2016). https://github.com/ethereum/wiki/wiki/Light-client-protocol
Fuchsbauer, G., Pointcheval, D.: Proofs on encrypted values in bilinear groups and an application to anonymity of signatures. In: Shacham, H., Waters, B. (eds.) Pairing-Based Cryptography—Pairing 2009. Lecture Notes in Computer Science, pp. 132–149. Springer, Berlin Heidelberg (2009)
Chaidos, P., Cortier, V., Fuchsbauer, G., Galindo, D.: BeleniosRF: a non-interactive receipt-free electronic voting scheme. In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, CCS’16, pp. 1614–1625. ACM, New York, NY, USA (2016). https://doi.org/10.1145/2976749.2978337
Li, C., Li, P., Zhou, D.: Scaling Nakamoto Consensus to Thousands of Transactions per Second (2018). arXiv:1805.03870v4
Nakamoto, S.: Bitcoin: A Peer-to-Peer Electronic Cash System (2009). https://bitcoin.org/bitcoin.pdf
Sompolinsky, Y., Zohar, A.: Secure high-rate transaction processing in bitcoin. In: Böhme, R., Okamoto, T. (eds.) Financial Cryptography and Data Security. Lecture Notes in Computer Science, pp. 507–527. Springer, Berlin, Heidelberg (2015). https://doi.org/10.1007/978-3-662-47854-7_32
Gilad, Y., Hemo, R., Micali, S., Vlachos, G., Zeldovich, N.: Algorand: scaling Byzantine agreements for cryptocurrencies. In: Proceedings of the 26th Symposium on Operating Systems Principles, SOSP’17, pp. 51–68. ACM, New York, NY, USA (2017). https://doi.org/10.1145/3132747.3132757
Sompolinsky, Y., Zohar, A.: PHANTOM: A Scalable BlockDAG Protocol. IACR Cryptology ePrint Archive (2018). https://eprint.iacr.org/2018/104.pdf
Chaum, D.L.: Untraceable electronic mail, return addresses, and digital pseudonyms. Commun ACM 24(2), 84–90 (1981). https://doi.org/10.1145/358549.358563
Rivest, R.L., Shamir, A., Tauman, Y.: How to leak a secret: theory and applications of ring signatures. In: Goldreich, O., Rosenberg, A.L., Selman, A.L. (eds.) Theoretical Computer Science: Essays in Memory of Shimon Even, Lecture Notes in Computer Science, pp. 164–186. Springer, Berlin, Heidelberg (2006). https://doi.org/10.1007/11685654_7
Acknowledgements
This work is supported by the National Cryptography Development Fund of China Under Grants No. MMJJ20170112, the Natural Science Basic Research Plan in Shaanxi Province of china (Grant Nos. 2018JM6028), National Nature Science Foundation of China (Grant Nos. 61772550, 61572521, U1636114, 61402531), National Key Research and Development Program of China Under Grants No. 2017YFB0802000. This work is also supported by Innovation Team Research Fund No. KYTD201805 of Engineering University of People’s Armed Police Force.
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Xiao, S., Wang, X.A., Wang, H. (2020). Large-Scale Electronic Voting Based on Conflux Consensus Mechanism. In: Barolli, L., Xhafa, F., Hussain, O. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2019. Advances in Intelligent Systems and Computing, vol 994. Springer, Cham. https://doi.org/10.1007/978-3-030-22263-5_28
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