Paper 2022/729
Integral Cryptanalysis of WARP based on Monomial Prediction
Abstract
WARP is a 128-bit block cipher published by Banik et al. at SAC 2020 as a lightweight alternative to AES. It is based on a generalized Feistel network and achieves the smallest area footprint among 128-bit block ciphers in many settings. Previous analysis results include integral key-recovery attacks on 21 out of 41 rounds. In this paper, we propose integral key-recovery attacks on up to 32 rounds by improving both the integral distinguisher and the key-recovery approach substantially. For the distinguisher, we show how to model the monomial prediction technique proposed by Hu et al. at ASIACRYPT 2020 as a SAT problem and thus create a bit-oriented model of WARP taking the key schedule into account. Together with two additional observations on the properties of WARP's construction, we extend the best previous distinguisher by 2 rounds (as a classical integral distinguisher) or 4 rounds (for a generalized integral distinguisher). For the key recovery, we create a graph-based model of the round function and demonstrate how to manipulate the graph to obtain a cipher representation amenable to FFT-based key recovery.
Note: The source code of our tool is available in the following Github repository and can be applied to other designs as well: https://github.com/hadipourh/mpt
Metadata
- Available format(s)
- Category
- Attacks and cryptanalysis
- Publication info
- Published by the IACR in TOSC 2022
- DOI
- 10.46586/tosc.v2022.i2.92-112
- Keywords
- Lightweight cryptographyWARPGFNIntegral cryptanalysisMonomial predictionCPSATFFT key recoveryAES
- Contact author(s)
-
hsn hadipour @ gmail com
maria eichlseder @ iaik tugraz at - History
- 2024-06-07: last of 2 revisions
- 2022-06-08: received
- See all versions
- Short URL
- https://ia.cr/2022/729
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2022/729, author = {Hosein Hadipour and Maria Eichlseder}, title = {Integral Cryptanalysis of {WARP} based on Monomial Prediction}, howpublished = {Cryptology {ePrint} Archive, Paper 2022/729}, year = {2022}, doi = {10.46586/tosc.v2022.i2.92-112}, url = {https://eprint.iacr.org/2022/729} }