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Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits - Studies in Computational Intelligence Pranesh Santikellur 2023 edition
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Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits - Studies in Computational Intelligence
Pranesh Santikellur
The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent "modeling attacks" on Physically Unclonable Function (PUF) circuits, which are promising hardware security primitives.
84 pages, 18 Illustrations, color; 13 Illustrations, black and white; XIII, 84 p. 31 illus., 18 illu
| Media | Boeken Hardcover Book (Boek met harde rug en kaft) |
| Vrijgegeven | 16 september 2022 |
| ISBN13 | 9789811940163 |
| Uitgevers | Springer Verlag, Singapore |
| Pagina's | 84 |
| Afmetingen | 242 × 163 × 12 mm · 308 g |
Bekijk alles van Pranesh Santikellur ( bijv. Hardcover Book en Paperback Book )