The Hunting of the SNARK

J. Cryptology(2016)

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摘要
The existence of succinct non-interactive arguments for NP (i.e., non-interactive computationally sound proofs where the verifier’s work is essentially independent of the complexity of the NP non-deterministic verifier) has been an intriguing question for the past two decades. Other than CS proofs in the random oracle model (Micali in SIAM J Comput 30(4):1253–1298, 2000 ), prior to our work the only existing candidate construction is based on an elaborate assumption that is tailored to a specific protocol (Di Crescenzo and Lipmaa in Proceedings of the 4th conference on computability in Europe, 2008 ). We formulate a general and relatively natural notion of an extractable collision-resistant hash function (ECRH) and show that, if ECRHs exist, then a modified version of Di Crescenzo and Lipmaa’s protocol is a succinct non-interactive argument for NP. Furthermore, the modified protocol is actually a succinct non-interactive adaptive argument of knowledge (SNARK) . We then propose several candidate constructions for ECRHs and relaxations thereof. We demonstrate the applicability of SNARKs to various forms of delegation of computation, to succinct non-interactive zero-knowledge arguments, and to succinct two-party secure computation. Finally, we show that SNARKs essentially imply the existence of ECRHs, thus demonstrating the necessity of the assumption. Going beyond ECRH s, we formulate the notion of extractable one-way functions ( EOWF s). Assuming the existence of a natural variant of EOWF s, we construct a two-message selective-opening-attack-secure commitment scheme and a three-round zero-knowledge argument of knowledge. Furthermore, if the EOWF s are concurrently extractable, the three-round zero-knowledge protocol is also concurrent zero knowledge. Our constructions circumvent previous black-box impossibility results regarding these protocols by relying on EOWF s as the non-black-box component in the security reductions.
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关键词
Zero-knowledge Argument Of Knowledge (ZKAOK),Merkle Tree (MT),Auxiliary Input,Exponent Assumption,Proximal Infusion
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