Deep learning for computational problems in hardware security: modeling attacks on strong physically unclonable function circuits
Auteur :
Santikellur, Pranesh / Chakraborty, Rajat Subhra
Éditeur :
Springer Verlag, Singapore
ISBN :
9789811940194
Date de publication :
17 sept. 2023
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Singapour
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.