Fortæl dine venner om denne vare:
Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits - Studies in Computational Intelligence Pranesh Santikellur 2023 edition
Har du en konto? Log ind
Modtag notifikation om nye Pranesh Santikellur udgivelser
Tilføj til din iMusic ønskeseddel
eller
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
| Medie | Bøger Paperback Bog (Bog med blødt omslag og limet ryg) |
| Udgivet | 17. september 2023 |
| ISBN13 | 9789811940194 |
| Forlag | Springer Verlag, Singapore |
| Antal sider | 84 |
| Mål | 150 × 220 × 10 mm · 166 g |
| Sprog | Engelsk |