Conditional differential analysis on the KATAN ciphers based on deep learning

Abstract KATAN ciphers are block ciphers using non‐linear feedback shift registers. In this study, the authors improve the results of conditional differential analysis on KATAN by using deep learning. Multi‐differential neural distinguishers are built to improve the accuracy of the neural distinguis...

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Bibliographic Details

Published in:	IET Information Security
Main Authors:	Dongdong Lin, Manman Li, Zezhou Hou, Shaozhen Chen
Format:	Article
Language:	English
Published:	Wiley 2023-05-01
Subjects:	block cipher conditional differential analysis deep learning KATAN family neural network
Online Access:	https://doi.org/10.1049/ise2.12099