• DocumentCode
    3379452
  • Title

    Monotone circuits for weighted threshold functions

  • Author

    Beimel, Amos ; Weinreb, Enav

  • Author_Institution
    Dept. of Comput. Sci., Ben-Gurion Univ., Beer-Sheva, Israel
  • fYear
    2005
  • fDate
    11-15 June 2005
  • Firstpage
    67
  • Lastpage
    75
  • Abstract
    Weighted threshold functions with positive weights are a natural generalization of unweighted threshold functions. These functions are clearly monotone. However, the naive way of computing them is adding the weights of the satisfied variables and checking if the sum is greater than the threshold; this algorithm is inherently non-monotone since addition is a non-monotone function. In this work we bypass this addition step and construct a polynomial size logarithmic depth unbounded fan-in monotone circuit for every weighted threshold function, i.e., we show that weighted threshold functions are in mAC. (To the best of our knowledge, prior to our work no polynomial monotone circuits were known for weighted threshold functions). Our monotone circuits are applicable for the cryptographic tool of secret sharing schemes. Using general results for compiling monotone circuits (Yao, 1989) and monotone formulae (Benaloh and Leichter, 1990) into secret sharing schemes, we get secret sharing schemes for every weighted threshold access structure. Specifically, we get: (1) information-theoretic secret sharing schemes where the size of each share is quasi-polynomial in the number of users, and (2) computational secret sharing schemes where the size of each share is polynomial in the number of users.
  • Keywords
    Boolean functions; circuit complexity; cryptography; information theory; computational secret sharing; cryptographic tool; information theory; mAC; nonmonotone function; nonmonotonic algorithm; polynomial size logarithmic depth unbounded fan-in monotone circuit; quasipolynomial sharing; weighted threshold access; weighted threshold functions; Boolean functions; Circuits; Complexity theory; Computational complexity; Computer science; Cryptography; Information security; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Complexity, 2005. Proceedings. Twentieth Annual IEEE Conference on
  • ISSN
    1093-0159
  • Print_ISBN
    0-7695-2364-1
  • Type

    conf

  • DOI
    10.1109/CCC.2005.12
  • Filename
    1443074