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    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/31723

    Título
    On asymptotically good ramp secret sharing schemes
    Autor
    Geil, Olav
    Martin, Stefano
    Martínez Peñas, UmbertoAutoridad UVA Orcid
    Matsumoto, Ryutaroh
    Ruano Benito, DiegoAutoridad UVA Orcid
    Año del Documento
    2017
    Documento Fuente
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. Volume E100-A, Number 12, pages 2699-2708 (2017)
    Résumé
    Asymptotically good sequences of linear ramp secret sharing schemes have been intensively studied by Cramer et al. in terms of sequences of pairs of nested algebraic geometric codes. In those works the focus is on full privacy and full reconstruction. In this paper we analyze additional parameters describing the asymptotic behavior of partial information leakage and possibly also partial reconstruction giving a more complete picture of the access structure for sequences of linear ramp secret sharing schemes. Our study involves a detailed treatment of the (relative) generalized Hamming weights of the considered codes.
    Revisión por pares
    SI
    DOI
    10.1587/transfun.E100.A.2699
    Patrocinador
    The Danish Council for Independent Research (DFF-4002-00367), the Spanish MINECO/FEDER (MTM2015-65764-C3-2-P), Japan Society for the Promotion of Science (23246071 and 26289116), the Villum Foundation through their VELUX Visiting Professor Programme 2013-2014, and the "Program for Promoting the Enhancement of Research Universities'' at Tokyo Institute of Technology.
    Version del Editor
    https://www.jstage.jst.go.jp/article/transfun/E100.A/12/E100.A_2699/_article
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/31723
    Derechos
    openAccess
    Aparece en las colecciones
    • DEP96 - Artículos de revista [95]
    • IMUVA - Artículos de Revista [103]
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    Attribution-NonCommercial-NoDerivatives 4.0 InternationalExcepté là où spécifié autrement, la license de ce document est décrite en tant que Attribution-NonCommercial-NoDerivatives 4.0 International

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