Resettably-Sound Zero-Knowledge And Its Applications

42ND ANNUAL SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE, PROCEEDINGS(2001)

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摘要
Resettably-sound proofs and arguments maintain soundness even when the prover can reset the verifier to use the same random coins in repeated executions of the protocol. We show that resettably-sound zero-knowledge arguments for NP exist if collision-free hash functions exist. In contrast, resettably-sound zero-knowledge proofs are possible only for languages in P/poly.We present two applications of resettably-sound zero-knowledge arguments. First, we construct resettable zero-knowledge arguments of knowledge for NP, using a natural relaxation of the definition of arguments (and proofs) of knowledge. We note that, under the standard definition of Proof of knowledge, it is impossible to obtain resettable zero-knowledge arguments of knowledge for languages outside BPP. Second, we construct a constant-round resettable zero-knowledge argument for YP in the public-key model, under the assumption that collision-free hash functions exist. This improves upon the sub-exponential hardness assumption required by previous constructions.We emphasize that our results use non-black-box zero-knowledge simulations. Indeed, we show that some of the results are impossible to achieve using black-box simulations. In particular, only languages in BPP have resettably-sound arguments that are zero-knowledge with respect to black-box simulation.
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collision-free hash function,constant-round resettable zero-knowledge argument,resettable zero-knowledge argument,resettably-sound zero-knowledge argument,resettably-sound zero-knowledge proof,resettably-sound argument,resettably-sound zeroknowledge argument,non-black-box zeroknowledge simulation,resettable zeroknowledge argument,black-box simulation,Resettably-Sound Zero-Knowledge
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