Improved Zero-Knowledge Proofs of Knowledge for the ISIS Problem, and Applications

In all existing efficient proofs of knowledge of a solution to the infinity norm Inhomogeneous Small Integer Solution (ISIS∞) problem, the knowledge extractor outputs a solution vector that is only guaranteed to be Õ(n) times longer than the witness possessed by the prover. As a consequence, in many cryptographic schemes that use these proof systems as building blocks, there exists a gap between the hardness of solving the underlying ISIS∞ problem and the hardness underlying the security reductions. In this paper, we generalize Stern’s protocol to obtain two statistical zero-knowledge proofs of knowledge for the ISIS∞ problem that remove this gap. Our result yields the potential of relying on weaker security assumptions for various lattice-based cryptographic constructions. As applications of our proof system, we introduce a concurrently secure identity-based identification scheme based on the worstcase hardness of the SIVPÕ(n1.5) problem (in the `2 norm) in general lattices in the random oracle model, and an efficient statistical zeroknowledge proof of plaintext knowledge with small constant gap factor for Regev’s encryption scheme.