International Association for Cryptologic Research

International Association
for Cryptologic Research

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Adaptive versus Static Multi-oracle Algorithms, and Quantum Security of a Split-key PRF

Authors:
Jelle Don , Centrum Wiskunde & Informatica, The Netherlands
Serge Fehr , Centrum Wiskunde & Informatica and Leiden University, The Netherlands
Yu-Hsuan Huang , Centrum Wiskunde & Informatica, The Netherlands
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Presentation: Slides
Conference: TCC 2022
Abstract: In the first part of the paper, we show a generic compiler that transforms any oracle algorithm that can query multiple oracles adaptively, i.e., can decide on which oracle to query at what point dependent on previous oracle responses, into a static algorithm that fixes these choices at the beginning of the execution. Compared to naive ways of achieving this, our compiler controls the blow up in query complexity for each oracle individually, and causes a very mild blow up only. In the second part of the paper, we use our compiler to show the security of the very efficient hash-based split-key PRF proposed by Giacon, Heuer and Poettering (PKC 2018), in the quantum random oracle model. Using a split-key PRF as the key-derivation function gives rise to a secure a KEM combiner. Thus, our result shows that the hash-based construction of Giacon et al. can be safely used in the context of quantum attacks, for instance to combine a well-established but only classically-secure KEM with a candidate KEM that is believed to be quantum-secure. Our security proof for the split-key PRF crucially relies on our adaptive-to-static compiler, but we expect our compiler to be useful beyond this particular application. Indeed, we discuss a couple of other, known results from the literature that would have profitted from our compiler, in that these works had to go though serious complications in oder to deal with adaptivity.
BibTeX
@inproceedings{tcc-2022-32575,
  title={Adaptive versus Static Multi-oracle Algorithms, and Quantum Security of a Split-key PRF},
  publisher={Springer-Verlag},
  author={Jelle Don and Serge Fehr and Yu-Hsuan Huang},
  year=2022
}