Compact FE for unbounded attribute-weighted sums for logspace from SXDH

Abstract

AbstractThis paper presents the first functional encryption $$(\textsf{FE})$$ ( FE ) scheme for the attribute-weighted sum functionality that supports the uniform model of computation. In such an scheme, encryption takes as input a pair of attributes (x, z) where x is public and z is private. A secret key corresponds to some weight function f, and decryption recovers the weighted sum f(x)z. In our scheme, both the public and private attributes can be of arbitrary polynomial lengths that are not fixed at system setup. The weight functions are modelled as $$\text {Logspace Turing machines}$$ Logspace Turing machines . Prior schemes could only support non-uniform Logspace. The proposed scheme is proven adaptively simulation secure under the well-studied symmetric external Diffie–Hellman assumption against an arbitrary polynomial number of secret key queries both before and after the challenge ciphertext. This is the best possible security notion that could be achieved for . On the technical side, our contributions lie in extending the techniques of Lin and Luo [EUROCRYPT 2020] devised for indistinguishability-based payload hiding attribute-based encryption for uniform Logspace access policies and the “three-slot reduction” technique for simulation-secure attribute-hiding for non-uniform Logspace devised by Datta and Pal [ASIACRYPT 2021] to the context of simulation-secure attribute-hiding for uniform Logspace.