A large number of works prove lower bounds on space-time trade-offs in preprocessing attacks, i.e., trade-offs between the size of the advice and the time needed to break a scheme given such advice. We contend that the question of how much time is needed to produce this advice is equally important, and often highly non-trivial. However, this question has received significantly less attention. In this paper, we present lower bounds on the complexity of preprocessing attacks that depend on both offline and online time. As in the case of space-time trade-offs, we focus in particular on settings with ideal primitives, where both the offline and online time-complexities are approximated by the number of queries to the given primitive. We give generic results that highlight the benefits of salting to generically increase the offline costs of preprocessing attacks. The majority of our paper presents several results focusing on salted hash functions. In particular, we provide a fairly involved analysis of the pre-image- and collision-resistance security of the (two-block) Merkle-Damgård construction in our model.
CITATION STYLE
Ghoshal, A., & Tessaro, S. (2023). The Query-Complexity of Preprocessing Attacks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 14082 LNCS, pp. 482–513). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-38545-2_16
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