Asymptotically Quasi-Optimal Cryptography

The question of minimizing the computational overhead of cryptography was put forward by the work of Ishai, Kushilevitz, Ostrovsky and Sahai (STOC 2008). The main conclusion was that, under plausible assumptions, most cryptographic primitives can be realized with constant computational overhead. However, this ignores an additive term that may depend polynomially on the (concrete) computational security parameter λ. In this work, we study the question of obtaining optimal efficiency, up to polylogarithmic factors, for all choices of n and λ, where n is the size of the given task. In particular, when n= λ, we would like the computational cost to be only O~ (λ). We refer to this goal as asymptotically quasi-optimal (AQO) cryptography. We start by realizing the first AQO semi-honest batch oblivious linear evaluation (BOLE) protocol. Our protocol applies to OLE over small fields and relies on the near-exponential security of the ring learning with errors (RLWE) assumption. Building on the above and on known constructions of AQO PCPs, we design the first AQO zero-knowledge (ZK) argument system for Boolean circuit satisfiability. Our construction combines a new AQO ZK-PCP construction that respects the AQO property of the underlying PCP along with a technique for converting statistical secrecy into soundness via OLE reversal. Finally, combining the above results, we get AQO secure computation protocols for Boolean circuits with security against malicious parties under RLWE.