Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits
(Bog, Hardback, Engelsk)
Forlag:
Springer Verlag, Singapore
- Type: Bog
- Format: Hardback
-
Sprog:
Engelsk
- ISBN-13: 9789811940163
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Formater og udgaver
Beskrivelse
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.
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Alle detaljer
| Forlag | Springer Verlag, Singapore |
| Forfattere | Pranesh Santikellur, Rajat Subhra Chakraborty |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgave | 2023 ed. |
| Udgivelsesdato | 16-09-2022 |
| Første udgivelsesår | 2022 |
| Serie | Studies in Computational Intelligence |
| Illustrationer | 18 Illustrations, color; 13 Illustrations, black and white |
| Originalsprog | Singapore |
| Sideantal | 84 |
| Indbinding | Hardback |
| Forlag | Springer Verlag, Singapore |
| Sideoplysninger | 84 pages, 18 Illustrations, color; 13 Illustrations, black and white |
| Mål | 163 x 242 x 12 |
| ISBN-13 / EAN-13 | 9789811940163 |