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Locally random reductions: Improvements and applications

D. BeaverContact Information, J. FeigenbaumContact Information, J. KilianContact Information and P. RogawayContact Information

(1)  Transarc Corporation, 707 Grant Street, 15219 Pittsburg, PA, U.S.A.
(2)  Room AT&T Research, 2C473 600 Mountain Avenue, 07974-0636 NJ, Murray Hill, U.S.A.
(3)  NEC Research Institute, 4 Independence Way, 08540 Princeton, NJ, U.S.A.
(4)  Department of Computer Science, Engineering II Building, University of California, 95616 Davis, CA, U.S.A.

Received: 18 October 1993  Revised: 16 September 1995  

Communicated by Gilles Brassard
Abstract  A (t, n)-locally random reduction maps a problem instancex into a set of problem instancesy 1,...,y n in such a way that it is easy to construct the answer tox from the answers toy 1,...,y n, and yet the distribution ont-element subsets ofy 1,...,y n depends only on |x|. In this paper we formalize such reductions and give improved methods for achieving them. Then we give a cryptographic application, showing a new way to prove in perfect zero knowledge that committed bitsx 1,...,x m satisfy some predicateQ. Unlike previous techniques for such perfect zero-knowledge proofs, ours uses an amount of communication that is bounded by a fixed polynomial inm, regardless of the computational complexity ofQ.

Key words  Random reducibility - Zero-knowledge protocols

These results were presented in preliminary form at the 10th Annual Crypto Conference, Santa Barbara, CA, August 1990. The work of D. Beaver was done at Harvard University, supported in part by NSF Grant CCR-870-4513. The work of J. Kilian was done at MIT and Harvard University, supported by an NSF postdoctoral fellowship.

Contact Information D. Beaver (Corresponding author)
Email: beaver+@transarc.com

Contact Information J. Feigenbaum
Email: jf@research.att.com

Contact Information J. Kilian
Email: joe@research.nj.nec.com

Contact Information P. Rogaway
Email: rogaway@cs.ucdavis.edu
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Referenced by
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  1. Woodruff, David (2007) A Geometric Approach to Information-Theoretic Private Information Retrieval. SIAM Journal on Computing 37(4)
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  2. Bogdanov, Andrej (2006) On Worst-Case to Average-Case Reductions for NP Problems. SIAM Journal on Computing 36(4)
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