Deep-learning side-channel analysis of embedded ML-KEM: Single-trace message recovery, cross-device generalization, and frequency-band leakage characterization.
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| Title: | Deep-learning side-channel analysis of embedded ML-KEM: Single-trace message recovery, cross-device generalization, and frequency-band leakage characterization. |
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| Authors: | Kuo CW; Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan.; Master's Program of Information and Communication Security, Feng Chia University, Taichung, Taiwan., Hung YI; Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan., Lin KL; Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan. |
| Source: | PloS one [PLoS One] 2026 Nov 04; Vol. 21 (11), pp. e0358974. Date of Electronic Publication: 2026 Nov 04 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0358974 |
