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Upper bounds of differential characteristic probability for unbalanced Feistel network employing DSM

  • Computer Science
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Wuhan University Journal of Natural Sciences

Abstract

In this paper, for the unbalanced Feistel network which employs diffusion matrices in a switching way, we study the fixed number of its differential active S-boxes. Firstly we obtain some lower bounds of the differential active S-boxes for m, 2m and 3m rounds of Feistel structure, respectively. By concatenating these rounds, a fixed number of differential active S-boxes for arbitrary round number is derived. Our results imply that the unbalanced Feistel network using DSM is more secure than the traditional structure.

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Correspondence to Jiansheng Guo.

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Foundation item: Supported by the National Natural Science Foundation of China (11204379) and Innovation Scientists and Technicians Troop Construction Projects of Henan Province(104100510025)

Biography: GUO Jiansheng, male, Professor, Ph.D., research direction: information systems, the theory of cryptography and quantum computation.

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Guo, J., Hu, X. & Luo, W. Upper bounds of differential characteristic probability for unbalanced Feistel network employing DSM. Wuhan Univ. J. Nat. Sci. 19, 173–177 (2014). https://doi.org/10.1007/s11859-014-0997-1

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  • DOI: https://doi.org/10.1007/s11859-014-0997-1

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