Weak Zero-Knowledge Beyond the Black-Box Barrier

被引:19
|
作者
Bitansky, Nir [1 ]
Khurana, Dakshita [2 ,3 ]
Paneth, Omer [4 ]
机构
[1] Tel Aviv Univ, Tel Aviv, Israel
[2] Microsoft Res, Cambridge, MA USA
[3] Univ Illinois, Urbana, IL USA
[4] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA
关键词
homomorphic trapdoor; zero-knowledge; non black-box simulation; witness hiding; FULLY HOMOMORPHIC ENCRYPTION; SIMULATION; PROOFS; LANGUAGES; PARADIGM;
D O I
10.1145/3313276.3316382
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The round complexity of zero-knowledge protocols is a long-standing open question, yet to be settled under standard assumptions. So far, the question has appeared equally challenging for relaxations such as weak zero-knowledge and witness hiding. Protocols satisfying these relaxed notions under standard assumptions have at least four messages, just like full-fledged zero-knowledge. The difficulty in improving round complexity stems from a fundamental barrier: none of these notions can be achieved in three messages via reductions (or simulators) that treat the verifier as a black box. We introduce a new non-black-box technique and use it to obtain the first protocols that cross this barrier under standard assumptions. We obtain weak zero-knowledge for NP in two messages, assuming the existence of quasipolynomially-secure fully-homomorphic encryption and other standard primitives (known based on the quasipolynomial hardness of Learning with Errors), and subexponentially-secure one-way functions. We also obtain weak zero-knowledge for NP in three messages under standard polynomial assumptions (following for example from fully homomorphic encryption and factoring). We also give, under polynomial assumptions, a two-message witness-hiding protocol for any language L is an element of NP that has a witness encryption scheme. This protocol is publicly verifiable. Our technique is based on a new homomorphic trapdoor paradigm, which can be seen as a non-black-box analog of the classic Feige-Lapidot-Shamir trapdoor paradigm.
引用
收藏
页码:1091 / 1102
页数:12
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