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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
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 | Books Hardcover Book (Book with hard spine and cover) |
| Released | September 16, 2022 |
| ISBN13 | 9789811940163 |
| Publishers | Springer Verlag, Singapore |
| Pages | 84 |
| Dimensions | 242 × 163 × 12 mm · 308 g |
See all of Pranesh Santikellur ( e.g. Hardcover Book and Paperback Book )