Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits - Studies in Computational Intelligence - Pranesh Santikellur - Bøger - Springer Verlag, Singapore - 9789811940194 - 17. september 2023
Ved uoverensstemmelse mellem cover og titel gælder titel

Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits - Studies in Computational Intelligence 2023 edition

Pris
DKK 863

Bestilles fra fjernlager

Forventes klar til forsendelse 8. - 14. sep.
Modtag notifikation om nye Pranesh Santikellur udgivelser
Tilføj til din iMusic ønskeseddel
eller

Ikke bedømt endnu

Findes også som:

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  

Mere med samme udgiver