Shared generation of pseudo-random functions with cumulative maps

Wang, Huaxiong & Pieprzyk, Josef (2003) Shared generation of pseudo-random functions with cumulative maps. Lecture Notes in Computer Science : Topics in Cryptology, 2612, pp. 281-295.

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Abstract

In Crypto’95, Micali and Sidney proposed a method for shared generation of a pseudo-random function f(·) among n players in such a way that for all the inputs x, any u players can compute f(x) while t or fewer players fail to do so, where 0 ≤ t < u ≤ n. The idea behind the Micali-Sidney scheme is to generate and distribute secret seeds S = s1, . . . , sd of a poly-random collection of functions, among the n players, each player gets a subset of S, in such a way that any u players together hold all the secret seeds in S while any t or fewer players will lack at least one element from S. The pseudo-random function is then computed as where f s i (·)’s are poly-random functions. One question raised by Micali and Sidney is how to distribute the secret seeds satisfying the above condition such that the number of seeds, d, is as small as possible. In this paper, we continue the work of Micali and Sidney. We first provide a general framework for shared generation of pseudo-random function using cumulative maps. We demonstrate that the Micali-Sidney scheme is a special case of this general construction.We then derive an upper and a lower bound for d. Finally we give a simple, yet efficient, approximation greedy algorithm for generating the secret seeds S in which d is close to the optimum by a factor of at most u ln 2.

Impact and interest:

3 citations in Scopus
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3 citations in Web of Science®

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ID Code: 74364
Item Type: Journal Article
Refereed: Yes
Additional Information: Proceedings of the Cryptographers’ Track at the RSA Conference 2003 San Francisco, CA, USA, April 13–17, 2003
DOI: 10.1007/3-540-36563-X_19
ISSN: 0302-9743
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 23 Jul 2014 04:10
Last Modified: 23 Jul 2014 04:10

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