• DocumentCode
    169438
  • Title

    Efficient secret sharing schemes achieving optimal information rate

  • Author

    Yongge Wang ; Desmedt, Yvo

  • Author_Institution
    KINDI Center for Comput. Res., Qatar Univ., Doha, Qatar
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    516
  • Lastpage
    520
  • Abstract
    One of the important problems in secret sharing schemes is to establish bounds on the size of the shares to be given to participants in secret sharing schemes. The other important problem in secret sharing schemes is to reduce the computational complexity in both secret distribution phase and secret reconstruction phase. In this paper, we design efficient threshold (n, k) secret sharing schemes to achieve both of the above goals. In particular, we show that if the secret size |s| is larger than max{1 + log2 n, n(n - k)/(n - 1)}, then ideal secret sharing schemes exist. In the efficient ideal secret sharing schemes that we will construct, only XOR-operations on binary strings are required (which is the best we could achieve). These schemes will have many applications both in practice and in theory. For example, they could be used to design very efficient verifiable secret sharing schemes which will have broad applications in secure multi-party computation and could be used to design efficient privacy preserving data storage in cloud systems.
  • Keywords
    cloud computing; computational complexity; data privacy; storage management; binary strings; cloud systems; computational complexity; optimal information rate; privacy preserving data storage; secret distribution phase; secret reconstruction phase; secret sharing schemes; secure multiparty computation; Arrays; Cryptography; Generators; Information rates; Polynomials; Reed-Solomon codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop (ITW), 2014 IEEE
  • Conference_Location
    Hobart, TAS
  • ISSN
    1662-9019
  • Type

    conf

  • DOI
    10.1109/ITW.2014.6970885
  • Filename
    6970885