Differential Attacks on CRAFT Exploiting the Involutory S-boxes and Tweak Additions

Author:

Guo Hao,Sun Siwei,Shi Danping,Sun Ling,Sun Yao,Hu Lei,Wang Meiqin

Abstract

CRAFT is a lightweight tweakable block cipher proposed at FSE 2019, which allows countermeasures against Differential Fault Attacks to be integrated into the cipher at the algorithmic level with ease. CRAFT employs a lightweight and involutory S-box and linear layer, such that the encryption function can be turned into decryption at a low cost. Besides, the tweakey schedule algorithm of CRAFT is extremely simple, where four 64-bit round tweakeys are generated and repeatedly used. Due to a combination of these features which makes CRAFT exceedingly lightweight, we find that some input difference at a particular position can be preserved through any number of rounds if the input pair follows certain truncated differential trails. Interestingly, in contrast to traditional differential analysis, the validity of this invariant property is affected by the positions where the constant additions take place. We use this property to construct “weak-tweakey” truncated differential distinguishers of CRAFT in the single-key model. Subsequently, we show how the tweak additions allow us to convert these weak-tweakey distinguishers into ordinary secret-key distinguishers based on which key-recovery attacks can be performed. Moreover, we show how to construct MILP models to search for truncated differential distinguishers exploiting this invariant property. As a result, we find a 15-round truncated differential distinguisher of CRAFT and extend it to a 19-round key-recovery attack with 260.99 data, 268 memory, 294.59 time complexity, and success probability 80.66%. Also, we find a 14-round distinguisher with probability 2−43 (experimentally verified), a 16-round distinguisher with probability 2−55, and a 20-round weak-key distinguisher (2118 weak keys) with probability 2−63. Experiments on round-reduced versions of the distinguishers show that the experimental probabilities are sometimes higher than predicted. Finally, we note that our result is far from threatening the security of the full CRAFT.

Publisher

Universitatsbibliothek der Ruhr-Universitat Bochum

Subject

Applied Mathematics,Computational Mathematics,Computer Science Applications,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Probabilistic Extensions: A One-Step Framework for Finding Rectangle Attacks and Beyond;Lecture Notes in Computer Science;2024

2. Research on Cryptanalysis Method Based on Differential Distribution Table;Software Engineering and Applications;2023

3. Analysis of Zero-Key Authentication and Zero-Knowledge Proof;2022 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC);2022-10

4. Clustering of differentials in CRAFT with correlation matrices;International Journal of Intelligent Systems;2022-09-16

5. Statistical Model on CRAFT;Chinese Journal of Electronics;2022-07

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