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Election-Dependent Security Evaluation of Internet Voting Schemes
Technische Universität Darmstadt, Darmstadt, Germany.
Université de Liège, Liège, Belgium.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (PriSec)ORCID iD: 0000-0003-2674-4043
2017 (English)In: ICT Systems Security and Privacy Protection: SEC 2017. IFIP Advances in Information and Communication Technology / [ed] De Capitani di Vimercati S., Martinelli F., Springer, 2017, Vol. 502, p. 371-382Conference paper, Published paper (Refereed)
Abstract [en]

The variety of Internet voting schemes proposed in the literature build their security upon a number of trust assumptions. The criticality of these assumptions depends on the target election setting, particularly the adversary expected within that setting. Given the potential complexity of the assumptions, identifying the most appropriate Internet voting schemes for a specific election setting poses a significant burden to election officials. We address this shortcoming by the construction of an election-dependent security evaluation framework for Internet voting schemes. On the basis of two specification languages, the core of the framework essentially evaluates election-independent security models with regard to expected adversaries and returns satisfaction degrees for security requirements. These satisfaction degrees serve election officials as basis for their decision-making. The framework is evaluated against requirements stemming from measure theory.

Place, publisher, year, edition, pages
Springer, 2017. Vol. 502, p. 371-382
National Category
Computer Sciences Information Systems Other Computer and Information Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-65617DOI: 10.1007/978-3-319-58469-0_25ISBN: 978-3-319-58469-0 (electronic)ISBN: 978-3-319-58468-3 (print)OAI: oai:DiVA.org:kau-65617DiVA, id: diva2:1174945
Conference
32nd International Conference on ICT Systems Security and Privacy Protection - IFIP SEC 2017 May 29 - 31, 2017, Rome, Italy
Available from: 2018-01-17 Created: 2018-01-17 Last updated: 2018-07-03Bibliographically approved

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Volkamer, Melanie

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf