Evaluating the Vulnerability of Hiding Techniques in Cyber-Physical Systems Against Deep Learning-Based Side-Channel Attacks

(1) Background: Side-channel attacks (SCAs) exploit unintended information leakage to compromise cryptographic security. In cyber-physical systems (CPSs), embedded systems are inherently constrained by limited resources, restricting the implementation of complex countermeasures. Traditional counterm...

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Bibliographic Details
Main Authors:	Seungun Park, Aria Seo, Muyoung Cheong, Hyunsu Kim, JaeCheol Kim, Yunsik Son
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Series:	Applied Sciences
Subjects:	side-channel attack cryptographic security hiding technique dummy data deep learning model power consumption pattern
Online Access:	https://www.mdpi.com/2076-3417/15/13/6981
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Evaluating the Vulnerability of Hiding Techniques in Cyber-Physical Systems Against Deep Learning-Based Side-Channel Attacks

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