A Smart Contract for Boardroom Voting with Maximum Voter Privacy

Patrick  McCorry; Siamak F. Shahandashti; Feng Hao

doi:10.1007/978-3-319-70972-7_20

A Smart Contract for Boardroom Voting with Maximum Voter Privacy

Patrick McCorry, Siamak F. Shahandashti, Feng Hao

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We present the first implementation of a decentralised and self-tallying internet voting protocol with maximum voter privacy using the Blockchain. The Open Vote Network is suitable for boardroom elections and is written as a smart contract for Ethereum. Unlike previously proposed Blockchain e-voting protocols, this is the first implementation that does not rely on any trusted authority to compute the tally or to protect the voter’s privacy. Instead, the Open Vote Network is a self-tallying protocol, and each voter is in control of the privacy of their own vote such that it can only be breached by a full collusion involving all other voters. The execution of the protocol is enforced using the consensus mechanism that also secures the Ethereum blockchain. We tested the implementation on Ethereum’s official test network to demonstrate its feasibility. Also, we provide a financial and computational breakdown of its execution cost.

Original language	English
Title of host publication	Financial Cryptography and Data Security - 21st International Conference, FC 2017, Revised Selected Papers
Subtitle of host publication	21st International Conference, FC 2017, Sliema, Malta, April 3-7, 2017, Revised Selected Papers
Editors	Aggelos Kiayias
Publisher	Springer
Pages	357-375
Number of pages	19
ISBN (Print)	978-3-319-70971-0
DOIs	https://doi.org/10.1007/978-3-319-70972-7_20
Publication status	Published - 2017
Event	Financial Cryptography and Data Security - , Malta Duration: 3 Apr 2017 → 7 Apr 2017 http://fc17.ifca.ai/

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10322 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Financial Cryptography and Data Security
Abbreviated title	FC
Country/Territory	Malta
Period	3/04/17 → 7/04/17
Internet address	http://fc17.ifca.ai/

Bibliographical note

© Springer, 2017. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details

Keywords

electronic voting
blockchain
smart contracts
Ethereum

Access to Document

10.1007/978-3-319-70972-7_20

e-voting-over-ethereum
© Springer, 2017. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Accepted author manuscript, 767 KB

https://eprint.iacr.org/2017/110

Cite this

McCorry, P., Shahandashti, S. F., & Hao, F. (2017). A Smart Contract for Boardroom Voting with Maximum Voter Privacy. In A. Kiayias (Ed.), Financial Cryptography and Data Security - 21st International Conference, FC 2017, Revised Selected Papers: 21st International Conference, FC 2017, Sliema, Malta, April 3-7, 2017, Revised Selected Papers (pp. 357-375). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10322 LNCS). Springer. https://doi.org/10.1007/978-3-319-70972-7_20

McCorry, Patrick ; Shahandashti, Siamak F. ; Hao, Feng. / A Smart Contract for Boardroom Voting with Maximum Voter Privacy. Financial Cryptography and Data Security - 21st International Conference, FC 2017, Revised Selected Papers: 21st International Conference, FC 2017, Sliema, Malta, April 3-7, 2017, Revised Selected Papers. editor / Aggelos Kiayias. Springer, 2017. pp. 357-375 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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McCorry, P, Shahandashti, SF & Hao, F 2017, A Smart Contract for Boardroom Voting with Maximum Voter Privacy. in A Kiayias (ed.), Financial Cryptography and Data Security - 21st International Conference, FC 2017, Revised Selected Papers: 21st International Conference, FC 2017, Sliema, Malta, April 3-7, 2017, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10322 LNCS, Springer, pp. 357-375, Financial Cryptography and Data Security, Malta, 3/04/17. https://doi.org/10.1007/978-3-319-70972-7_20

A Smart Contract for Boardroom Voting with Maximum Voter Privacy. / McCorry, Patrick ; Shahandashti, Siamak F.; Hao, Feng.
Financial Cryptography and Data Security - 21st International Conference, FC 2017, Revised Selected Papers: 21st International Conference, FC 2017, Sliema, Malta, April 3-7, 2017, Revised Selected Papers. ed. / Aggelos Kiayias. Springer, 2017. p. 357-375 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10322 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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McCorry P, Shahandashti SF, Hao F. A Smart Contract for Boardroom Voting with Maximum Voter Privacy. In Kiayias A, editor, Financial Cryptography and Data Security - 21st International Conference, FC 2017, Revised Selected Papers: 21st International Conference, FC 2017, Sliema, Malta, April 3-7, 2017, Revised Selected Papers. Springer. 2017. p. 357-375. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2017 Dec 23. doi: 10.1007/978-3-319-70972-7_20

A Smart Contract for Boardroom Voting with Maximum Voter Privacy