Automatic Margin Computation for Risk-Limiting Audits

Bernhard Beckert, Michael Kirsten, Vladimir Klebanov, Carsten Schürmann

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

Abstrakt

A risk-limiting audit is a statistical method to create confidence in the correctness of an election result by checking samples of paper ballots. In order to perform an audit, one usually needs to know what the election margin is, i.e., the number of votes that would need to be changed in order to change the election outcome.

In this paper, we present a fully automatic method for computing election margins. It is based on the program analysis technique of bounded model checking to analyse the implementation of the election function. The method can be applied to arbitrary election functions without understanding the actual computation of the election result or without even intuitively knowing how the election function works.

We have implemented our method based on the model checker CBMC; and we present a case study demonstrating that it can be applied to real-world elections.
OriginalsprogEngelsk
TitelFirst International Joint Conference, E-Vote-ID 2016, Bregenz, Austria, October 18-21, 2016, Proceedings
ForlagSpringer
Publikationsdato2017
Sider18-35
ISBN (Trykt)978-3-319-52239-5
ISBN (Elektronisk)978-3-319-52240-1
DOI
StatusUdgivet - 2017
NavnLecture Notes in Computer Science
Vol/bind10141
ISSN0302-9743

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