Paper 2017/937

Random Oracles and Non-Uniformity

Abstract

We revisit security proofs for various cryptographic primitives in the auxiliary-input random-oracle model (AI-ROM), in which an attacker $A$ can compute arbitrary $S$ bits of leakage about the random oracle $\mathcal{O}$ before attacking the system and then use additional $T$ oracle queries to $\mathcal{O}$ during the attack. This model has natural applications in settings where traditional random-oracle proofs are not useful: (a) security against non-uniform attackers; (b) security against preprocessing. We obtain a number of new results about the AI-ROM: Unruh (CRYPTO '07) introduced the pre-sampling technique, which generically reduces security proofs in the AI-ROM to a much simpler $$-bit-fixing random-oracle model (BF-ROM), where the attacker can arbitrarily fix the values of $$ on some $$ coordinates, but then the remaining coordinates are chosen at random. Unruh's security loss for this transformation is $$. We improve this loss to the optimal value $$, which implies nearly tight bounds for a variety of indistinguishability applications in the AI-ROM. While the basic pre-sampling technique cannot give tight bounds for unpredictability applications, we introduce a novel "multiplicative version" of pre-sampling, which allows to dramatically reduce the size of $$ of the pre-sampled set to $$ and yields nearly tight security bounds for a variety of unpredictability applications in the AI-ROM. Qualitatively, it validates Unruh's "polynomial pre-sampling conjecture"---disproved in general by Dodis et al. (EUROCRYPT '17)---for the special case of unpredictability applications. Using our techniques, we reprove nearly all AI-ROM bounds obtained by Dodis et al. (using a much more laborious compression technique), but we also apply it to many settings where the compression technique is either inapplicable (e.g., computational reductions) or appears intractable (e.g., Merkle-Damgard hashing). We show that for any salted Merkle-Damgard hash function with m-bit output there exists a collision-finding circuit of size $$ (taking salt as the input), which is significantly below the $$ birthday security conjectured against uniform attackers. We build two general compilers showing how to generically extend the security of applications proven in the traditional ROM to the AI-ROM. One compiler simply prepends a public salt to the random oracle and shows that salting generically provably defeats preprocessing. Overall, our results make it much easier to get concrete security bounds in the AI-ROM. These bounds in turn give concrete conjectures about the security of these applications (in the standard model) against non-uniform attackers.

Note: Fixed a bug in earlier versions of the proofs for the multiplicative presampling part of Lemma 1 (special thanks to Patrick Harasser for pointing out that bug)