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Park, Seungun; Seo, Aria; Cheong, Muyoung; Kim, Hyunsu; Kim, JaeCheol; Son, Yunsik (2025) Evaluating the Vulnerability of Hiding Techniques in Cyber-Physical Systems Against Deep Learning-Based Side-Channel Attacks. Applied Sciences, 15 (13). doi:10.3390/app15136981

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Reference TypeJournal (article/letter/editorial)
TitleEvaluating the Vulnerability of Hiding Techniques in Cyber-Physical Systems Against Deep Learning-Based Side-Channel Attacks
JournalApplied Sciences
AuthorsPark, SeungunAuthor
Seo, AriaAuthor
Cheong, MuyoungAuthor
Kim, HyunsuAuthor
Kim, JaeCheolAuthor
Son, YunsikAuthor
Year2025 (June 20)Volume15
Issue13
PublisherMDPI AG
DOIdoi:10.3390/app15136981Search in ResearchGate
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Mindat Ref. ID18582401Long-form Identifiermindat:1:5:18582401:3
GUID0
Full ReferencePark, Seungun; Seo, Aria; Cheong, Muyoung; Kim, Hyunsu; Kim, JaeCheol; Son, Yunsik (2025) Evaluating the Vulnerability of Hiding Techniques in Cyber-Physical Systems Against Deep Learning-Based Side-Channel Attacks. Applied Sciences, 15 (13). doi:10.3390/app15136981
Plain TextPark, Seungun; Seo, Aria; Cheong, Muyoung; Kim, Hyunsu; Kim, JaeCheol; Son, Yunsik (2025) Evaluating the Vulnerability of Hiding Techniques in Cyber-Physical Systems Against Deep Learning-Based Side-Channel Attacks. Applied Sciences, 15 (13). doi:10.3390/app15136981
In(2025, June) Applied Sciences Vol. 15 (13). MDPI AG

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