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Reputable List Curation from Decentralized Voting

Crites, EC; Maller, M; Meiklejohn, S; Mercer, R; (2020) Reputable List Curation from Decentralized Voting. In: Proceedings on Privacy Enhancing Technologies. (pp. pp. 297-320). Sciendo Green open access

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Abstract

Token-curated registries (TCRs) are a mechanism by which a set of users are able to jointly curate a reputable list about real-world information. Entries in the registry may have any form, so this primitive has been proposed for use—and deployed—in a variety of decentralized applications, ranging from the simple joint creation of lists to helping to prevent the spread of misinformation online. Despite this interest, the security of this primitive is not well understood, and indeed existing constructions do not achieve strong or provable notions of security or privacy. In this paper, we provide a formal cryptographic treatment of TCRs as well as a construction that provably hides the votes cast by individual curators. Along the way, we provide a model and proof of security for an underlying voting scheme, which may be of independent interest. We also demonstrate, via an implementation and evaluation, that our construction is practical enough to be deployed even on a constrained decentralized platform like Ethereum.

Type: Proceedings paper
Title: Reputable List Curation from Decentralized Voting
Event: Privacy Enhancement Technologies Symposium 2020
Open access status: An open access version is available from UCL Discovery
DOI: 10.2478/popets-2020-0074
Publisher version: https://doi.org/10.2478/popets-2020-0074
Language: English
Additional information: This article is published under a Creative Commons licence https://creativecommons.org/licenses/by-nc-nd/3.0/
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10115266
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