article
Homomorphic encryption-based fault diagnosis in IoT-enabled industrial systems
Hoki Kima, Youngdoo Sonb, Junyoung Byunc✉
- aDepartment of Industrial Security, Chung-Ang University, Seoul, Korea
- bDepartment of Industrial and Systems Engineering and Data Science Laboratory, Dongguk University-Seoul, Seoul, Korea
- cDepartment of Applied Statistics, Chung-Ang University, Seoul, Korea
- ✉Corresponding author
International Journal of Information SecuritySpringer Science+Business Media2025-03-24 0 citations53 references
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Abstract
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TL;DRThis study presents a novel framework that seamlessly integrates homomorphic encryption (HE) with deep learning to achieve secure and efficient fault diagnosis for industrial bearings and incorporates frequency-domain optimizations using the Discrete Fourier Transform (DFT), which significantly enhance processing efficiency. (Semantic Scholar)