Zero-knowledge arguments for matrix–vector relations and lattice-based group encryption

Abstract

Group encryption (GE) is the natural encryption analogue of group signatures in that it allows verifiably encrypting messages for some anonymous member of a group while providing evidence that the receiver is a properly certified group member. Should the need arise, an opening authority is capable of identifying the receiver of any ciphertext. As introduced by Kiayias, Tsiounis and Yung (Asiacrypt'07), GE is motivated by applications in the context of oblivious retriever storage systems, anonymous third parties and hierarchical group signatures. This paper provides the first realization of group encryption under lattice assumptions. Our construction is proved secure in the standard model (assuming interaction in the proving phase) under the Learning-With-Errors (LWE) and Short-Integer-Solution (SIS) assumptions. As a crucial component of our system, we describe a new zero-knowledge argument system allowing to demonstrate that a given ciphertext is a valid encryption under some hidden but certified public key, which incurs to prove quadratic statements about LWE relations. Specifically, our protocol allows arguing knowledge of witnesses consisting of X ∈ Z m×n q , s ∈ Z n q and a small-norm e ∈ Z m which underlie a public vector b = X · s + e ∈ Z m q while simultaneously proving that the matrix X ∈ Z m×n q has been correctly certified. We believe our proof system to be useful in other applications involving zero-knowledge proofs in the lattice setting.

RLWE-Based Zero-Knowledge Proofs for Linear and Multiplicative Relations

“…Exact Lattice-Based ZKPoK are therefore an active field of research, with very recent efficient constructions for some lattice statements including linear equations with short solutions and matrix-vector relations [27] by Yang et al, new techniques when a cyclotomic polynomial fully splits in linear factors [5] by Bootle et al and new recent Stern-based contributions for proving integer relations [15] and matrix-vector relations [16] by Libert et al…”