Accurate estimates of the data complexity and success probability for various cryptanalyses

  • Authors:
  • Céline Blondeau;Benoît Gérard;Jean-Pierre Tillich

  • Affiliations:
  • INRIA project-team SECRET, Le Chesnay Cedex, France;INRIA project-team SECRET, Le Chesnay Cedex, France;INRIA project-team SECRET, Le Chesnay Cedex, France

  • Venue:
  • Designs, Codes and Cryptography
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

Many attacks on encryption schemes rely on statistical considerations using plaintext/ciphertext pairs to find some information on the key. We provide here simple formulae for estimating the data complexity and the success probability which can be applied to a lot of different scenarios (differential cryptanalysis, linear cryptanalysis, truncated differential cryptanalysis, etc.). Our work does not rely here on Gaussian approximation which is not valid in every setting but use instead a simple and general approximation of the binomial distribution and asymptotic expansions of the beta distribution.