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Journal of Discrete Mathematical Sciences and Cryptography cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

Linear approximation attacks on reduced-round block ciphers

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pp. 4121–4131Vol. 29Issue 10-BOctober 2026DOI: 10.47974/JDMSC-3037 Crossmark XML
Received:
01 Apr 2026
Published Online:
31 Oct 2026
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-3037
Pages:
4121–4131

Abstract

Linear cryptanalysis is still a key method to analyze the security of symmetric-key primitives, especially reduced-round block ciphers, in which structural weaknesses are more revealed. This paper examines linear approximation attacks on reduced-round variants of substitution permutation networks (SPNs) and Feistel ciphers, including finding high bias linear expressions in S-box layers and key mixing. The approach combines the linear hull analysis and the statistical hypothesis testing to accumulate the bias during several rounds, thus providing a way to recover keys. Experimental analysis shows that reduced-round designs have quantifiable biases up to 0.125, and achieve successful key recovery probabilities above 92.4 percent with much less plaintext-ciphertext pairs than designs using full rounds.

Keywords

Subject Classifications

14G5068M1268M2594A60

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