Cryptology ePrint Archive: Report 2020/982

Election Verifiability Revisited: Automated Security Proofs and Attacks on Helios and Belenios

Sevdenur Baloglu and Sergiu Bursuc and Sjouke Mauw and Jun Pang

Abstract: Election verifiability aims to ensure that the outcome produced by electronic voting systems correctly reflects the intentions of eligible voters, even in the presence of an adversary that may corrupt various parts of the voting infrastructure. Protecting such systems from manipulation is challenging because of their distributed nature involving voters, election authorities, voting servers and voting platforms. An adversary corrupting any of these can make changes that, individually, would go unnoticed, yet in the end will affect the outcome of the election. It is, therefore, important to rigorously evaluate whether the measures prescribed by election verifiability achieve their goals.

We propose a formal framework that allows such an evaluation in a systematic and automated way. We demonstrate its application to the verification of various scenarios in Helios and Belenios, two prominent internet voting systems. For Helios, our analysis is the first one to be, at the same time, fully automated (with the Tamarin protocol prover) and to precisely capture its end-to-end verifiability guarantees, allowing us to derive new security proofs and new attacks on deployed versions of it. For Belenios, similarly, we capture precisely the end-to-end verifiability guarantees when all election authorities are corrupted, which is outside the scope of previous formal definitions. We also find new attacks that apply in weaker corruption scenarios that are expected to be secure. In general, our framework allows a unified analysis and comparison of cryptographic voting protocols, corruption scenarios and verifiability procedures towards ensuring the end goal of election integrity.

Category / Keywords: foundations / applications, electronic voting, formal verification

Date: received 14 Aug 2020, last revised 14 Aug 2020

Contact author: sevdenur baloglu at uni lu,sergiu bursuc@uni lu,sjouke mauw@uni lu,jun pang@uni lu

Available format(s): PDF | BibTeX Citation

Version: 20200818:083339 (All versions of this report)

Short URL: ia.cr/2020/982


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