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A maximum independent set approach for collusion detection in voting pools

dc.contributor.authorAraujo, Filipe
dc.contributor.authorFarinha, Jorge
dc.contributor.authorDomingues, Patrício
dc.contributor.authorSilaghi, Gheorghe Cosmin
dc.contributor.authorKondo, Derrick
dc.date.accessioned2025-11-19T12:00:34Z
dc.date.available2025-11-19T12:00:34Z
dc.date.issued2011-10
dc.description.abstractFrom agreement problems to replicated software execution, we frequently find scenarios with voting pools. Unfortunately, Byzantine adversaries can join and collude to distort the results of an election. We address the problem of detecting these colluders, in scenarios where they repeatedly participate in voting decisions. We investigate different malicious strategies, such as naïve or colluding attacks, with fixed identifiers or in whitewashing attacks. Using a graph-theoretic approach, we frame collusion detection as a problem of identifying maximum independent sets. We then propose several new graph-based methods and show, via analysis and simulations, their effectiveness and practical applicability for collusion detection.eng
dc.description.sponsorshipThis work has been partially supported by the project PTDC/EIA EIA/102212/2008, High-Performance Computing over the Large Scale Internet. G.C. Silaghi acknowledges support from the Romanian Authority for Scientific Research under project IDEI 2452.
dc.identifier.citationFilipe Araujo, Jorge Farinha, Patricio Domingues, Gheorghe Cosmin Silaghi, Derrick Kondo, A maximum independent set approach for collusion detection in voting pools, Journal of Parallel and Distributed Computing, Volume 71, Issue 10, 2011, Pages 1356-1366, ISSN 0743-7315, https://doi.org/10.1016/j.jpdc.2011.06.004
dc.identifier.doi10.1016/j.jpdc.2011.06.004
dc.identifier.issn0743-7315
dc.identifier.urihttp://hdl.handle.net/10400.8/14671
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier BV
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S0743731511001316
dc.relation.ispartofJournal of Parallel and Distributed Computing
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectVolunteer computing
dc.subjectMaximum independent set
dc.subjectCollusion detection
dc.titleA maximum independent set approach for collusion detection in voting poolseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1366
oaire.citation.issue10
oaire.citation.startPage1356
oaire.citation.titleJournal of Parallel and Distributed Computing
oaire.citation.volume71
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameDomingues
person.givenNamePatrício
person.identifier.ciencia-idAA15-6185-C477
person.identifier.orcid0000-0002-6207-6292
person.identifier.scopus-author-id13411315400
relation.isAuthorOfPublicationb88ada5f-0d8b-4e55-ab0a-62aa82ea1388
relation.isAuthorOfPublication.latestForDiscoveryb88ada5f-0d8b-4e55-ab0a-62aa82ea1388

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