Carte Deep Learning for Computational Problems in Hardware Security Pranesh Santikellur

Deep Learning for Computational Problems in Hardware Security

Modeling Attacks on Strong Physically Unclonable Function Circuits

Limbă: engleză
Legare: Copertă tare
Editura: Springer, Berlin
Disponibilitate: În depozitul extern
Expediem în 10-18 zile
322.53 lei
The book discusses a broad overview of traditional machine learning methods and state-of-the-art dee...

Informații despre carte

Limbă
engleză
Legare
Carte - Copertă tare
Publicat
2022
Pagini
84
EAN
9789811940163
Enbook ID
39239432
Greutate
325
Dimensiuni
155 x 235 x 12

Descriere completă

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. The volume is self-contained and includes a comprehensive background on PUF circuits, and the necessary mathematical foundation of traditional and advanced machine learning techniques such as support vector machines, logistic regression, neural networks, and deep learning. This book can be used as a self-learning resource for researchers and practitioners of hardware security, and will also be suitable for graduate-level courses on hardware security and application of machine learning in hardware security. A stand-out feature of the book is the availability of reference software code and datasets to replicate the experiments described in the book.

S-ar putea să te intereseze

Antonino de Sueno En Sueno

JUAN ARJONA VAZQUEZ
75.30 lei
63.29 lei

Benin

James Pinnock
63.09 lei

Temporal Bone Imaging Made Easy

Geoiphy George Pulickal
459.93 lei