Review on Hybrid Deep Learning Models for Enhancing Encryption Techniques Against Side Channel Attacks

Review on Hybrid Deep Learning Models for Enhancing Encryption Techniques Against Side Channel Attacks

During the years 2018-2024, considerable advancements have been achieved in the use of deep learning for side channel attacks. The security of cryptographic algorithm implementations is put at risk by this. The aim is to conceptually keep an eye out for specific types of information loss, like power...

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Bibliographic Details
Main Authors: Amjed A. Ahmed, Mohammad Kamrul Hasan, Azana H. Aman, Nurhizam Safie, Shayla Islam, Fatima A. Ahmed, Thowiba E. Ahmed, Bishwajeet Pandey, Leila Rzayeva
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
deep learning
encryption
review
side channel attacks
Online Access:https://ieeexplore.ieee.org/document/10604855/
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https://ieeexplore.ieee.org/document/10604855/

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