Arrow Research search
Back to STOC

STOC 2015

Random Permutations using Switching Networks

Conference Paper Session 9A Algorithms and Complexity · Theoretical Computer Science

Abstract

We consider the problem of designing a simple, oblivious scheme to generate (almost) random permutations. We use the concept of switching networks and show that almost every switching network of logarithmic depth can be used to almost randomly permute any set of (1-ε) n elements with any ε > 0 (that is, gives an almost (1-ε) n$-wise independent permutation). Furthermore, we show that the result still holds for every switching network of logarithmic depth that has some special expansion properties, leading to an explicit construction of such networks. Our result can be also extended to an explicit construction of a switching network of depth O(log 2 n) and with O(n log n) switches that almost randomly permutes any set of n elements. We also discuss basic applications of these results in cryptography. Our results are obtained using a non-trivial coupling approach to study mixing times of Markov chains which allows us to reduce the problem to some random walk-like problem on expanders.

Authors

Keywords

  • Markov chains
  • random permutations
  • switching networks

Context

Venue
ACM Symposium on Theory of Computing
Archive span
1969-2025
Indexed papers
4364
Paper id
1025195679240675065
v2026.09.13