Data Mining to Identify Fraud Suspected on Electronic Elections

Yuri Tadeu Poloni, Daniel Formolo

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Many democratic countries choose their representatives through electronic elections. Even being a modern tool, its results can be explored maliciously. Because that, many instruments and protocols are using to protect electronic elections from attacks. This work propose a new system to improve the security in electronic elections. It is based on analyses of behavior voter to detect urns with dissonant result, what can serve as start point to auditing. The system uses data mining to select suspect urns, presenting good results in the task of indicating urns with suspect of fraud.

Original languageEnglish
Title of host publicationProceedings - 2015 9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2015
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages19-23
Number of pages5
ISBN (Electronic)9781479988709
DOIs
Publication statusPublished - 10 Aug 2015
Event9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2015 - Blumenau, Santa Catarina, Brazil
Duration: 8 Jul 201510 Jul 2015

Conference

Conference9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2015
CountryBrazil
CityBlumenau, Santa Catarina
Period8/07/1510/07/15

Keywords

  • auditing
  • behavior
  • data mining
  • electronic voting machines
  • vote

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  • Cite this

    Poloni, Y. T., & Formolo, D. (2015). Data Mining to Identify Fraud Suspected on Electronic Elections. In Proceedings - 2015 9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2015 (pp. 19-23). [7185160] Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/CISIS.2015.8