InforLorV4, Main, Exploration, bibRecord, 001926

Measuring Vote Privacy, Revisited.

Identifieur interne : 001926 ( Main/Exploration ); précédent : 001925; suivant : 001927

Measuring Vote Privacy, Revisited.

Auteurs : David Bernhard [Royaume-Uni] ; Véronique Cortier [France] ; Olivier Pereira [Belgique] ; Bogdan Warinschi [Royaume-Uni]

Source :

RBID : Hal:hal-00732904

Abstract

We propose a new measure for privacy of votes. Our measure relies on computational conditional entropy, an extension of the traditional notion of entropy that incorporates both information-theoretic and computational aspects. As a result, we capture in a unified manner privacy breaches due to two orthogonal sources of insecurity: combinatorial aspects that have to do with the number of participants, the distribution of their votes and published election outcome as well as insecurity of the cryptography used in an implementation. Our privacy measure overcomes limitations of two previous approaches to defining vote privacy and we illustrate its applicability through several case studies. We offer a generic way of applying our measure to a large class of cryptographic protocols that includes the protocols implemented in Helios. We also describe a practical application of our metric on Scantegrity audit data from a real election.

Url:

https://hal.inria.fr/hal-00732904

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 003139
to stream Hal, to step Curation: 003139
to stream Hal, to step Checkpoint: 001542
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to stream Main, to step Curation: 001926

Le document en format XML

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<orgName type="university">Université de Franche-Comté</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Bourgogne Franche-Comté</orgName>
<placeName><settlement type="city" wicri:auto="siege">Belfort</settlement>
<region type="region" nuts="2">Franche-Comté</region>
</placeName>
<orgName type="university">Université de technologie de Belfort-Montbéliard</orgName>
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</author>
<author><name sortKey="Pereira, Olivier" sort="Pereira, Olivier" uniqKey="Pereira O" first="Olivier" last="Pereira">Olivier Pereira</name>
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<desc><address><addrLine>Place du Levant, 3, B-1348 Louvain-la-Neuve</addrLine>
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<ref type="url">http://www.uclouvain.be/en-icteam.html</ref>
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<country>Belgique</country>
<placeName><settlement type="city">Louvain-la-Neuve</settlement>
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<region type="province" nuts="1">Province du Brabant wallon</region>
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<orgName type="university">Université catholique de Louvain</orgName>
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<author><name sortKey="Warinschi, Bogdan" sort="Warinschi, Bogdan" uniqKey="Warinschi B" first="Bogdan" last="Warinschi">Bogdan Warinschi</name>
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<front><div type="abstract" xml:lang="en">We propose a new measure for privacy of votes. Our measure relies on computational conditional entropy, an extension of the traditional notion of entropy that incorporates both information-theoretic and computational aspects. As a result, we capture in a unified manner privacy breaches due to two orthogonal sources of insecurity: combinatorial aspects that have to do with the number of participants, the distribution of their votes and published election outcome as well as insecurity of the cryptography used in an implementation. Our privacy measure overcomes limitations of two previous approaches to defining vote privacy and we illustrate its applicability through several case studies. We offer a generic way of applying our measure to a large class of cryptographic protocols that includes the protocols implemented in Helios. We also describe a practical application of our metric on Scantegrity audit data from a real election.</div>
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<affiliations><list><country><li>Belgique</li>
<li>France</li>
<li>Royaume-Uni</li>
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<region><li>Franche-Comté</li>
<li>Grand Est</li>
<li>Lorraine (région)</li>
<li>Province du Brabant wallon</li>
<li>Région wallonne</li>
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<li>Besançon</li>
<li>Louvain-la-Neuve</li>
<li>Metz</li>
<li>Nancy</li>
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<orgName><li>Université catholique de Louvain</li>
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<li>Université de Franche-Comté</li>
<li>Université de Lorraine</li>
<li>Université de technologie de Belfort-Montbéliard</li>
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<tree><country name="Royaume-Uni"><noRegion><name sortKey="Bernhard, David" sort="Bernhard, David" uniqKey="Bernhard D" first="David" last="Bernhard">David Bernhard</name>
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<name sortKey="Warinschi, Bogdan" sort="Warinschi, Bogdan" uniqKey="Warinschi B" first="Bogdan" last="Warinschi">Bogdan Warinschi</name>
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<country name="France"><region name="Grand Est"><name sortKey="Cortier, Veronique" sort="Cortier, Veronique" uniqKey="Cortier V" first="Véronique" last="Cortier">Véronique Cortier</name>
</region>
</country>
<country name="Belgique"><region name="Région wallonne"><name sortKey="Pereira, Olivier" sort="Pereira, Olivier" uniqKey="Pereira O" first="Olivier" last="Pereira">Olivier Pereira</name>
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Measuring Vote Privacy, Revisited.

Measuring Vote Privacy, Revisited.

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