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Scalable Open-Vote Network on Ethereum

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Financial Cryptography and Data Security (FC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 12063))

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Abstract

McCorry et al. (Financial Cryptography 2017) presented the first implementation of a decentralized self-tallying voting protocol on Ethereum. However, their implementation did not scale beyond 40 voters since all the computations were performed on the smart contract. In this paper, we tackle this problem by delegating the bulk computations to an off-chain untrusted administrator in a verifiable manner. Specifically, the administrator tallies the votes off-chain and publishes a Merkle tree that encodes the tallying computation trace. Then, the administrator submits the Merkle tree root and the tally result to the smart contract. Subsequently, the smart contract transits to an intermediate phase where at least a single honest voter can contend the administrator’s claimed result if it was not computed correctly. Then, in the worst case, the smart contract verifies the dispute at the cost of an elliptic curve point addition and scalar multiplication, and two Merkle proofs of membership which are logarithmic in the number of voters. This allows our protocol to achieve higher scalability without sacrificing the public verifiability or voters’ privacy. To assess our protocol, we implemented an open-source prototype on Ethereum and carried out multiple experiments for different numbers of voters. The results of our implementation confirm the scalability and efficiency of our proposed solution which does not exceed the current block gas limit for any practical number of voters.

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Notes

  1. 1.

    https://github.com/HSG88/eVoting.

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Correspondence to Mohamed Seifelnasr .

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Seifelnasr, M., Galal, H.S., Youssef, A.M. (2020). Scalable Open-Vote Network on Ethereum. In: Bernhard, M., et al. Financial Cryptography and Data Security. FC 2020. Lecture Notes in Computer Science(), vol 12063. Springer, Cham. https://doi.org/10.1007/978-3-030-54455-3_31

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  • DOI: https://doi.org/10.1007/978-3-030-54455-3_31

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  • Online ISBN: 978-3-030-54455-3

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