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Alizadeh, J., Aboei Mehrizi, M. (2021). Improvement of Rotational Cryptanalysis of Shabal and Cubehash Hash Functions. Electronic and Cyber Defense, 9(1), 91-100.
J. Alizadeh; M. Aboei Mehrizi. "Improvement of Rotational Cryptanalysis of Shabal and Cubehash Hash Functions". Electronic and Cyber Defense, 9, 1, 2021, 91-100.
Alizadeh, J., Aboei Mehrizi, M. (2021). 'Improvement of Rotational Cryptanalysis of Shabal and Cubehash Hash Functions', Electronic and Cyber Defense, 9(1), pp. 91-100.
Alizadeh, J., Aboei Mehrizi, M. Improvement of Rotational Cryptanalysis of Shabal and Cubehash Hash Functions. Electronic and Cyber Defense, 2021; 9(1): 91-100.

Improvement of Rotational Cryptanalysis of Shabal and Cubehash Hash Functions

پدافند الکترونیکی و سایبری
Article 7, Volume 9, Issue 1 - Serial Number 33, April 2021, Pages 91-100    PDF (1.35 M)
Document Type: Original Article
Authors
J. Alizadeh* ; M. Aboei Mehrizi
IHU
Receive Date: 12 April 2020,  Revise Date: 01 June 2020,  Accept Date: 05 August 2020 
Abstract
A cryptographic hash function maps an arbitrary length input to a fixed length output. These functions are used in many cryptographic applications such as digital signatures. They must be secure against collision, preimage and 2-preimage attacks. Rotational cryptanalysis is an approach to the analysis of ARX ciphers. The Hash functions Shabal and Cubehash, which are two candidates of the second round of the SHA-3   competition, have an ARX structure. They have been analyzed with respect to rotational cryptanalysis by Tabatabaei et al. In this paper we consider their analysis and present some observations. Our observations show that the results of Tabatabaei et al.’s cryptanalysis are not accurate. Then we present some new     results about rotational cryptanalysis of Shabal and Cubehash. Thereafter we present some new results and show that rotational cryptanalysis is effective on a smaller number of rounds on Shabal and Cubehash Hash functions.
 
Keywords
Hash Function; Rotational Cryptanalysis; Modular Addition; Markov Chaining
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