Paper 2024/1604 Original: eprint.iacr.org/2024/1604 ↗
Predicting truncated multiple matrix congruential generators with unknown parameters
Abstract
Multiple Matrix congruential generators is an important class of pseudorandom number generators. This paper studies the predictability of a class of truncated multiple matrix congruential generators with unknown parameters. Given a few truncated digits of high-order bits or low-order bits output by a multiple matrix congruential generator, we give a method based on lattice reduction to recover the parameters and the initial state of the generator.
Metadata
- Available format(s)
PDF- Category
- Attacks and cryptanalysis
- Publication info
- Preprint.
- History
- 2024-10-09: last updated
- 2024-10-09: published
- Short URL
- https://ia.cr/2024/1604
- License
- https://creativecommons.org/licenses/by/4.0/
BibTeX
@misc{cryptoeprint:2024/1604,
author = {Changcun Wang and Zhaopeng Dai},
title = {Predicting truncated multiple matrix congruential generators with unknown parameters},
howpublished = {Cryptology {ePrint} Archive, Paper 2024/1604},
year = {2024},
url = {https://eprint.iacr.org/2024/1604}
}