Cryptology ePrint Archive: Report 2006/185

Statistical Zero-Knowledge Arguments for NP from Any One-Way Function

Minh-Huyen Nguyen and Shien Jin Ong and Salil Vadhan

Abstract: We show that every language in NP has a *statistical* zero-knowledge argument system under the (minimal) complexity assumption that one-way functions exist. In such protocols, even a computationally unbounded verifier cannot learn anything other than the fact that the assertion being proven is true, whereas a polynomial-time prover cannot convince the verifier to accept a false assertion except with negligible probability. This resolves an open question posed by Naor, Ostrovsky, Venkatesan, and Yung (CRYPTO `92, J. Cryptology `98).

Departing from previous works on this problem, we do not construct standard statistically hiding commitments from any one-way function. Instead, we construct a relaxed variant of commitment schemes called "1-out-of-2-binding commitments," recently introduced by Nguyen and Vadhan (STOC `06).

Category / Keywords: foundations / one-way functions, zero knowledge, bit commitment, complexity theory

Date: received 19 Jun 2006, last revised 19 Jun 2006

Contact author: salil at eecs harvard edu

Available format(s): Postscript (PS) | Compressed Postscript (PS.GZ) | PDF | BibTeX Citation

Version: 20060619:210640 (All versions of this report)

Short URL:

[ Cryptology ePrint archive ]