Lightweight Block Cipher Security Evaluation Based on Machine Learning Classifiers and Active S-Boxes

Lightweight Block Cipher Security Evaluation Based on Machine Learning Classifiers and Active S-Boxes

Machine learning has recently started to gain the attention of cryptographic researchers, notably in block cipher cryptanalysis. Most of these machine learning-based approaches are black box attacks that are cipher-specific. Thus, more research is required to understand the capabilities and limitati...

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Bibliographic Details
Main Authors: Ting Rong Lee, Je Sen Teh, Norziana Jamil, Jasy Liew Suet Yan, Jiageng Chen
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Active S-boxes
block cipher
cryptanalysis
machine learning
differential cryptanalysis
lightweight cryptography
Online Access:https://ieeexplore.ieee.org/document/9551956/

Internet

https://ieeexplore.ieee.org/document/9551956/

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