Non-interactive zero-knowledge in pairing-free groups from weaker assumptions

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Abstract

We provide new constructions of non-interactive zero-knowledge arguments (NIZKs) for NP from discrete-logarithm-style assumptions over cyclic groups, without relying on pairings. A previous construction from (Canetti et al., Eurocrypt’18) achieves such NIZKs under the assumption that no efficient adversary can break the key-dependent message (KDM) security of (additive) ElGamal with respect to all (even inefficient) functions over groups of size 2λ, with probability better than poly(λ)/2λ. This is an extremely strong, non-falsifiable assumption. In particular, even mild (polynomial) improvements over the current best known attacks on the discrete logarithm problem would already contradict this assumption. (Canetti et al. STOC’19) describe how to improve the assumption to rely only on KDM security with respect to all efficient functions, therefore obtaining an assumption that is (in spirit) falsifiable. Our first construction improves this state of affairs. We provide a construction of NIZKs for NP under the CDH assumption 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 2λ, with probability better than poly(λ)/2cλ (denoted 2−cλOW-KDM), for a constant c = 3/4. Unlike the previous assumption, our assumption leaves an exponential gap between the best known attack and the required security guarantee. We also analyse whether we could build NIZKs when CDH does not hold. As a second contribution, we construct an infinitely often NIZK argument system for NP (where soundness and zero-knowledge are only guaranteed to hold for infinitely many security parameters), under the 2−cλ-OW-KDM security of ElGamal with c = 28/29+o(1), together with the existence of low-depth pseudorandom generators.

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Couteau, G., Katsumata, S., & Ursu, B. (2020). Non-interactive zero-knowledge in pairing-free groups from weaker assumptions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12107 LNCS, pp. 442–471). Springer. https://doi.org/10.1007/978-3-030-45727-3_15

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