期刊论文

Li, Lang(lilang@hynu.edu.cn)

英文

Computer Networks

1389-1286

2023

224

109622

10.1016/j.comnet.2023.109622

This research is supported by the Hunan Provincial Natural Science Foundation of China ( 2022JJ30103 , 2022JJ50016 ), the Science and Technology Innovation Program of Hunan Province, China ( 2016TP1020 ), Open fund project of Hunan Provincial Key Laboratory of Intelligent Information Processing and Application for Hengyang Normal University, China ( 2022HSKFJJ011 ), “the 14th Five-Year Plan” Key Disciplines and Application-oriented Special Disciplines of Hunan Province (Xiangjiaotong [2022] 351).

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Differential analysis is a vital tool for evaluating the security of cryptography algorithms. There has been a growing interest in the differential distinguisher based on deep learning. Various neural network models have been created to increase the accuracy of distinguishing between ciphertext and random sequences. However, few studies have focused on differential analysis at the design stage of cryptographic algorithms. This paper presents an appropriate model for differential analysis of block ciphers. The model is similar to multilayer perc...