Known-key distinguishers on 15-round 4-branch type-2 generalised Feistel networks with single substitution–permutation functions and near-collision attacks on its hashing modes
Generalised Feistel network (GFN) is a popular design for block ciphers and hash functions. The round function of the network often chooses a substitution–permutation (SP) transformation (consists of a subkey XOR, an S-boxes layer and a linear layer). In 2011, Bogdanov and Shibutani provided another...
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| Vydáno v: | IET information security Ročník 9; číslo 5; s. 277 - 283 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
The Institution of Engineering and Technology
01.09.2015
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| Témata: | |
| ISSN: | 1751-8709, 1751-8717 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | Generalised Feistel network (GFN) is a popular design for block ciphers and hash functions. The round function of the network often chooses a substitution–permutation (SP) transformation (consists of a subkey XOR, an S-boxes layer and a linear layer). In 2011, Bogdanov and Shibutani provided another choice to build round functions, namely the double SP-functions, which has two SP-layers in series. They showed that a 4-branch type-2 GFN with double SP-functions was stronger than the one with single SP-function in terms of the number of active S-boxes in a differential or linear cryptanalysis, but some subsequent results showed that the double SP-function is the weaker one in some known-key scenarios and hashing modes. In this study, the authors present a new result of the 4-branch type-2 GFN, whose round function is a single SP-function. They show some 15-round truncated differential distinguishers for this network with four usual parameters by utilising some rebound attack techniques. Based on these distinguishers, they construct some 15-round near-collision attacks on the Matyas–Meyer–Oseas and Miyaguchi–Preneel compression function modes in which the 4-branch type-2 GFN with the single SP-function is used. |
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| Bibliografie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 1751-8709 1751-8717 |
| DOI: | 10.1049/iet-ifs.2014.0402 |