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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2023. gada 17. septembris |
| ISBN13 | 9789811940194 |
| Izdevēji | Springer Verlag, Singapore |
| Lapas | 84 |
| Izmēri | 150 × 220 × 10 mm · 166 g |
| Valoda | Angļu |
Skatīt visus Pranesh Santikellur ( piem., Hardcover Book un Paperback Book )