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ASIACRYPT
2007
Springer

Concurrent Statistical Zero-Knowledge Arguments for NP from One Way Functions

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Concurrent Statistical Zero-Knowledge Arguments for NP from One Way Functions
In this paper we show a general transformation from any honest verifier statistical zero-knowledge argument to a concurrent statistical zero-knowledge argument. Our transformation relies only on the existence of one-way functions. It is known that the existence of zero-knowledge systems for any non-trivial language implies one way functions. Hence our transformation unconditionally shows that concurrent statistical zero-knowledge arguments for a non-trivial language exist if and only if standalone secure statistical zero-knowledge arguments for that language exist. Further, applying our transformation to the recent statistical zero-knowledge argument system of Nguyen et al (STOC’06) yields the first concurrent statistical zeroknowledge argument system for all languages in NP from any one way function.
Vipul Goyal, Ryan Moriarty, Rafail Ostrovsky, Amit
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where ASIACRYPT
Authors Vipul Goyal, Ryan Moriarty, Rafail Ostrovsky, Amit Sahai
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