Data Mining to Identify Fraud Suspected on Electronic Elections

Yuri Tadeu Poloni; Daniel Formolo

doi:10.1109/CISIS.2015.8

Data Mining to Identify Fraud Suspected on Electronic Elections

Yuri Tadeu Poloni, Daniel Formolo

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Proceedings - 2015 9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2015
Publisher	Institute of Electrical and Electronics Engineers, Inc.
Pages	19-23
Number of pages	5
ISBN (Electronic)	9781479988709
DOIs	https://doi.org/10.1109/CISIS.2015.8
Publication status	Published - 10 Aug 2015
Event	9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2015 - Blumenau, Santa Catarina, Brazil Duration: 8 Jul 2015 → 10 Jul 2015

Conference

Conference	9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2015
Country/Territory	Brazil
City	Blumenau, Santa Catarina
Period	8/07/15 → 10/07/15

Keywords

auditing
behavior
data mining
electronic voting machines
vote

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/CISIS.2015.8

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Cite this

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title = "Data Mining to Identify Fraud Suspected on Electronic Elections",

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.",

keywords = "auditing, behavior, data mining, electronic voting machines, vote",

author = "Poloni, \{Yuri Tadeu\} and Daniel Formolo",

year = "2015",

month = aug,

day = "10",

doi = "10.1109/CISIS.2015.8",

language = "English",

pages = "19--23",

booktitle = "Proceedings - 2015 9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2015",

publisher = "Institute of Electrical and Electronics Engineers, Inc.",

note = "9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2015 ; Conference date: 08-07-2015 Through 10-07-2015",

}

Poloni, YT & 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., 7185160, Institute of Electrical and Electronics Engineers, Inc., pp. 19-23, 9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2015, Blumenau, Santa Catarina, Brazil, 8/07/15. https://doi.org/10.1109/CISIS.2015.8

Data Mining to Identify Fraud Suspected on Electronic Elections. / Poloni, Yuri Tadeu; Formolo, Daniel.
Proceedings - 2015 9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2015. Institute of Electrical and Electronics Engineers, Inc., 2015. p. 19-23 7185160.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Data Mining to Identify Fraud Suspected on Electronic Elections

AU - Poloni, Yuri Tadeu

AU - Formolo, Daniel

PY - 2015/8/10

Y1 - 2015/8/10

N2 - 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.

AB - 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.

KW - auditing

KW - behavior

KW - data mining

KW - electronic voting machines

KW - vote

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U2 - 10.1109/CISIS.2015.8

DO - 10.1109/CISIS.2015.8

M3 - Conference contribution

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EP - 23

BT - Proceedings - 2015 9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2015

PB - Institute of Electrical and Electronics Engineers, Inc.

T2 - 9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2015

Y2 - 8 July 2015 through 10 July 2015

ER -

Data Mining to Identify Fraud Suspected on Electronic Elections

Abstract

Conference

Keywords

UN SDGs

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