A deep learning aided differential distinguisher improvement framework with more lightweight and universality

A deep learning aided differential distinguisher improvement framework with more lightweight and universality

Abstract In CRYPTO 2019, Gohr opens up a new direction for cryptanalysis. He successfully applied deep learning to differential cryptanalysis against the NSA block cipher SPECK32/64, achieving higher accuracy than traditional differential distinguishers. Until now, one of the mainstream research dir...

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Bibliographic Details
Main Authors: JiaShuo Liu, JiongJiong Ren, ShaoZhen Chen
Format: Article
Language:English
Published: SpringerOpen 2023-11-01
Series:Cybersecurity
Subjects:
Deep learning
Block cipher
Neural distinguisher
Depthwise separabe convolution
SPECK
Online Access:https://doi.org/10.1186/s42400-023-00176-7

Internet

https://doi.org/10.1186/s42400-023-00176-7

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