TY - GEN
T1 - Random oracles and non-uniformity
AU - Coretti, Sandro
AU - Dodis, Yevgeniy
AU - Guo, Siyao
AU - Steinberger, John
N1 - Funding Information:
Acknowledgments. The authors thank Mika Göös for pointing out the decomposition lemma for high-entropy sources in [30], Andrej Bogdanov for discussions about derandomization using random walks, and Daniel Wichs for suggestions on proving the security of computationally secure schemes in the AI-ROM. Sandro Coretti is supported by NSF grants 1314568 and 1319051. Yevgeniy Dodis is partially supported by gifts from VMware Labs and Google, and NSF grants 1619158, 1319051, 1314568. Siyao Guo is supported by NSF grants CNS1314722 and CNS-1413964; this work was done partially while the author was visiting the Simons Institute for the Theory of Computing at UC Berkeley.
Publisher Copyright:
© International Association for Cryptologic Research 2018.
PY - 2018
Y1 - 2018
N2 - 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 O before attacking the system and then use additional T oracle queries to 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 P-bit-fixing random-oracle model (BF-ROM), where the attacker can arbitrarily fix the values of O on some P coordinates, but then the remaining coordinates are chosen at random. Unruh’s security loss for this transformation is √ST/P. We improve this loss to the optimal value O(ST/P), obtaining 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 P of the pre-sampled set to P = O(ST) 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-Damgård hashing). We show that for any salted Merkle-Damgård hash function with m-bit output there exists a collision-finding circuit of size Θ(2m/3) (taking salt as the input), which is significantly below the 2m/2 birthday security conjectured against uniform attackers. We build two compilers 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, showing 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 nonuniform attackers.
AB - 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 O before attacking the system and then use additional T oracle queries to 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 P-bit-fixing random-oracle model (BF-ROM), where the attacker can arbitrarily fix the values of O on some P coordinates, but then the remaining coordinates are chosen at random. Unruh’s security loss for this transformation is √ST/P. We improve this loss to the optimal value O(ST/P), obtaining 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 P of the pre-sampled set to P = O(ST) 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-Damgård hashing). We show that for any salted Merkle-Damgård hash function with m-bit output there exists a collision-finding circuit of size Θ(2m/3) (taking salt as the input), which is significantly below the 2m/2 birthday security conjectured against uniform attackers. We build two compilers 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, showing 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 nonuniform attackers.
UR - http://www.scopus.com/inward/record.url?scp=85045879999&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045879999&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-78381-9_9
DO - 10.1007/978-3-319-78381-9_9
M3 - Conference contribution
AN - SCOPUS:85045879999
SN - 9783319783802
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 227
EP - 258
BT - Advances in Cryptology - EUROCRYPT 2018 - 37th Annual International Conference on the Theory and Applications of Cryptographic Techniques, 2018 Proceedings
A2 - Nielsen, Jesper Buus
A2 - Rijmen, Vincent
PB - Springer Verlag
T2 - 37th Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2018
Y2 - 29 April 2018 through 3 May 2018
ER -