Paper 2017/391 Original: eprint.iacr.org/2017/391 ↗
Another Look at Success Probability in Linear Cryptanalysis
Abstract
This work studies the success probability of key recovery attacks based on using a single linear approximation. Previous works had analysed success probability under different hypotheses on the distributions of correlations for the right and wrong key choices. This work puts forward a unifying framework of general key randomisation hypotheses. All previously used key randomisation hypotheses as also zero correlation attacks can be seen to special cases of the general framework. Derivations of expressions for the success probability are carried out under both the settings of the plaintexts being sampled with and without replacements. Compared to previous analysis, we uncover several new cases which have not been considered in the literature. For most of the cases which have been considered earlier, we provide complete expressions for the respective success probabilities. Finally, the complete picture of the dependence of the success probability on the data complexity is revealed. Compared to the extant literature, our work provides a deeper and more thorough understanding of the success probability of single linear cryptanalysis.
Metadata
- Available format(s)
PDF- Category
- Secret-key cryptography
- Publication info
- Preprint.
- History
- 2017-12-09: last updated
- 2017-05-05: published
- Short URL
- https://ia.cr/2017/391
- License
- https://creativecommons.org/licenses/by/4.0/
BibTeX
@misc{cryptoeprint:2017/391,
author = {Subhabrata Samajder and Palash Sarkar},
title = {Another Look at Success Probability in Linear Cryptanalysis},
howpublished = {Cryptology {ePrint} Archive, Paper 2017/391},
year = {2017},
url = {https://eprint.iacr.org/2017/391}
}