Machine Learning for Embedded System Security

Éditeur :

Springer

Paru le : 2022-04-22

This book comprehensively covers the state-of-the-art security applications of machine learning techniques.  The first part explains the emerging solutions for anti-tamper design, IC Counterfeits detection and hardware Trojan identification. It also explains the latest development of deep-learn...
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À propos

Auteur

Éditeur

Collection
n.c

Parution
2022-04-22

Pages
160 pages

EAN papier
9783030941772

Auteur(s) du livre


Dr. Basel Halak is the director of the embedded systems and IoT program at the University of Southampton, a visiting scholar at the Technical University of Kaiserslautern, a visiting professor at the Kazakh-British Technical University, an industrial fellow of the royal academy of engineering, and a national teaching fellow of the Advance Higher Education(HE) Academy. Dr. Halak's publications include over 80-refereed conference and journal papers and authored four books, including the first textbook on Physically Unclonable Functions. His research expertise includes evaluation of the security of hardware devices, development of countermeasures, mathematical formalism of reliability issues in CMOS circuits (e.g. crosstalk, radiation, aging), and the use of fault tolerance techniques to improve the robustness of electronics systems against such issues. Dr. Halak lectures on digital design, Secure Hardware, and Cryptography.  Dr. Halak serves on several technical program committees such as HOST, IEEE DATE, IVSW, and DAC. He is an associate editor of IEEE access and an editor of the IET circuit devices and system journal. He is also a member of the hardware security-working group of the World Wide Web Consortium (W3C).

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EAN PDF
9783030941789
Prix
94,94 €
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
3983 Ko
EAN EPUB
9783030941789
Prix
94,94 €
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
15831 Ko

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