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    Electronic Voting

    7th International Joint Conference, E-Vote-ID 2022, Bregenz, Austria, October 4–7, 2022, Proceedings

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    Contributor(s)
    Krimmer, Robert (editor)
    Volkamer, Melanie (editor)
    Duenas-Cid, David (editor)
    Rønne, Peter (editor)
    Germann, Micha (editor)
    Language
    English
    Show full item record
    Abstract
    This open access book LNCS 13353 constitutes the proceedings of the 7th International Conference on Electronic Voting, E-Vote-ID 2022, held in Bregenz, Austria, in October 2022. The 10 full papers presented were carefully reviewed and selected from 39 submissions. The conference collected the most relevant debates on the development of Electronic Voting, from aspects relating to security and usability through to practical experiences and applications of voting systems, also including legal, social, or political aspects, amongst others.
    URI
    https://library.oapen.org/handle/20.500.12657/58339
    Keywords
    artificial intelligence; communication; communication systems; computer crime; computer hardware; computer networks; computer science; computer security; computer systems; computer vision; cryptography; data security; engineering; fuzzy sets; internet; network protocols; network security; privacy; signal processing; telecommunication systems
    DOI
    10.1007/978-3-031-15911-4
    ISBN
    9783031159114, 9783031159114
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2022
    Grantor
    • Center of Translational Genomics, University of Tartu - [...]
    Imprint
    Springer International Publishing
    Series
    Lecture Notes in Computer Science, 13553
    Classification
    Coding theory & cryptology
    Information retrieval
    Artificial intelligence
    Network security
    Computer security
    Network hardware
    Pages
    185
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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