• DocumentCode
    70477
  • Title

    Bounds on the Threshold Gap in Secret Sharing and its Applications

  • Author

    Cascudo, Ignacio ; Cramer, Ronald ; Chaoping Xing

  • Author_Institution
    Centrum Wiskunde & Inf., Amsterdam, Netherlands
  • Volume
    59
  • Issue
    9
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    5600
  • Lastpage
    5612
  • Abstract
    We consider the class of secret sharing schemes where there is no a priori bound on the number of players n but where each of the n share-spaces has fixed cardinality q. We show two fundamental lower bounds on the threshold gap of such schemes. The threshold gap g is defined as r-t, where r is minimal and t is maximal such that the following holds: for a secret with arbitrary a priori distribution, each r-subset of players can reconstruct this secret from their joint shares without error ( r-reconstruction) and the information gain about the secret is nil for each t-subset of players jointly ( t-privacy). Our first bound, which is completely general, implies that if , then g ≥ [( n-t+1)/q] independently of the cardinality of the secret-space. Our second bound pertains to BBF q-linear schemes with secret-space BBF qk ( k ≥ 2). It improves the first bound when k is large enough. Concretely, it implies that g ≥ [( n-t+1)/ q]+f(q,k,t,n), for some function f that is strictly positive when k is large enough. Moreover, also in the BBF q-linear case, bounds on the threshold gap independent of t or r are obtained by additionally employing a dualization argument. As an application of our results, we answer an open question about the asymptotics of arithmetic secret sharing schemes and prove that the asymptotic optimal corruption tolerance rate is strictly smaller than 1.
  • Keywords
    error correction codes; set theory; statistical distributions; a priori distribution; asymptotic optimal corruption tolerance rate; r-reconstruction; secret sharing; t-privacy; t-subset; threshold gap; Context; Cryptography; Entropy; Error correction codes; Privacy; Random variables; Vectors; Arithmetic secret sharing; Griesmer bound; Norse bounds; error correcting codes; secret sharing; threshold gap;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2013.2264504
  • Filename
    6517932