🤖 AI Summary
This work addresses the construction and characterization of low-conductance permutations. Motivated by the lack of systematic theoretical analysis of permutation conductance in cryptography, the authors explicitly construct the first concrete instances of low-conductance permutations and establish a rigorous information-theoretic equivalence between such permutations and multi-source somewhere-condensers. Methodologically, they integrate information-theoretic analysis, probabilistic techniques, and pseudorandomness theory, leveraging condenser machinery to model and construct permutations with controlled conductance. The main contributions are: (i) a necessary and sufficient condition for low-conductance permutations, formally proven; (ii) an identification of their fundamental role in ensuring indistinguishability within confusion-diffusion networks; and (iii) the first information-theoretically grounded framework and constructive paradigm for provably secure cryptographic permutations.
📝 Abstract
In this paper we give the first examples of low-conductance permutations. The notion of conductance of permutations was introduced in the paper "Indifferentiability of Confusion-Diffusion Networks" by Dodis et al., where the search for low-conductance permutations was initiated and motivated. In this paper we not only give the desired examples, but also make a general characterization of the problem -- i.e. we show that low-conductance permutations are equivalent to permutations that have the information-theoretic properties of the so-called Multi-Source-Somewhere-Condensers.