Cryptology ePrint Archive: Report 2010/102
Constructing Veriﬁable Random Functions with Large Input Spaces
Susan Hohenberger and Brent Waters
Abstract: We present a family of verifiable random functions which are provably secure for exponentially-large input spaces under a non-interactive complexity assumption. Prior constructions required either an interactive complexity assumption or one that could tolerate a factor 2^n security loss for n-bit inputs. Our construction is practical and inspired by the pseudorandom functions of Naor and Reingold and the verifiable random functions of Lysyanskaya. Set in a bilinear group, where the Decisional Diffie-Hellman problem is easy to solve, we require the Decisional Diffie-Hellman Exponent assumption in the standard model, without a common reference string. Our core idea is to apply a simulation technique where the large space of VRF inputs is collapsed into a small (polynomial-size) input in the view of the reduction algorithm. This view, however, is information-theoretically hidden from the attacker. Since the input space is exponentially large, we can first apply a collision-resistant hash function to handle arbitrarily-large inputs.
Category / Keywords: foundations / VRF, PRF, large inputs, standard model
Publication Info: To appear in Eurocrypt 2010. This is the full version.
Date: received 24 Feb 2010, last revised 23 May 2010
Contact author: susan at cs jhu edu
Available formats: PDF | BibTeX Citation
Note: An earlier draft did not properly handle input zero. This is now addressed.
Version: 20100524:014924 (All versions of this report)
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