On the Probability and Automatic Search of Rotational-XOR Cryptanalysis on ARX Ciphers

Author:

Huang Mingjiang12,Xu Zhen1,Wang Liming1

Affiliation:

1. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

2. School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China

Abstract

Abstract Rotational-XOR cryptanalysis is a very recent technique for ARX ciphers. In this paper, the probability propagation formula of RX-cryptanalysis in modular addition is extended, and the calculation of RX-difference probability for any rotation parameter ($0<k<n$) can be realized. By proposing a concept of RX-offset and constructing the corresponding distribution table, the propagation of RX-difference in modular addition can be derived from the propagation of XOR-difference. Combined with the improvement of the automatic search tool for XOR-differential characteristics of ARX ciphers, we only need to add one more operation in each round, i.e. traverse the possible value of RX-offset and XOR it with the output XOR-difference of modular addition, thus it can achieve the search for RX-differential characteristics. With this method, the RX-differential distinguisher of ARX-C primitives without or with linear key schedule can be searched. For the applications, we have obtained the third-party RX-cryptanalysis results for Alzette and CHAM for the first time as far as we know.

Funder

National Research and Development Program of China

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

General Computer Science

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