Paper 2021/688

Statistical ZAPs from Group-Based Assumptions

Geoffroy Couteau, Shuichi Katsumata, Elahe Sadeghi, and Bogdan Ursu

Abstract

We put forth a template for constructing statistical ZAPs for NP. Our template compiles NIZKs for NP in the hidden bit model (which exist unconditionally) into statistical ZAPs using a new notion of interactive hidden-bit generator (IHBG), which adapts the notion of hidden-bit generator to the plain model by building upon the recent notion of statistically-hiding extractable commitments. We provide a construction of IHBG from the explicit hardness of the decision Diffie-Hellman assumption (where explicit refers to requiring an explicit upper bound on the advantage of any polynomial-time adversary against the assumption) and the existence of statistical ZAPs for a specific simple language, building upon the recent construction of dual-mode hidden-bit generator from (Libert et al., EUROCRYPT 2020). We provide two instantiations of the underlying simple ZAP: 1. Using the recent statistical ZAP for the Diffie-Hellman language of (Couteau and Hartmann, CRYPTO 2020), we obtain statistical ZAPs for NP assuming (the explicit hardness of) DDH in $$ and kernel-DH in $$ (a search assumption which is weaker than DDH), where $$ are groups equipped with an asymmetric pairing. This improves over the recent work of (Lombardi et al., EUROCRYPT 2020) which achieved a relaxed variant of statistical ZAP for NP, under a stronger assumption. 2. Using the recent work of (Couteau et al., EUROCRYPT 2020), we obtain statistical ZAPs for NP assuming the explicit hardness of DDH, together with the assumption that no efficient adversary can break the key-dependent message one-wayness of ElGamal with respect to efficient functions over groups of size $$ with probability better than $$, denoted $$-\OWKDM, for a constant c = 1/2, in pairing-free groups. Note that the latter is a search discrete-log-style falsifiable assumption, incomparable to DDH (in particular, it is not known to imply public-key encryption).