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Deep Learning For Computational Problems In Hardware Security

Modeling Attacks On Strong Physically Unclonable Function Circuits

by Pranesh Santikellur e Rajat Subhra Chakraborty
language: english
Publisher: SPRINGER VERLAG, SINGAPORE, September of 2022 ‧
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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.

Deep Learning For Computational Problems In Hardware Security

Modeling Attacks On Strong Physically Unclonable Function Circuits

by Pranesh Santikellur e Rajat Subhra Chakraborty

Property Description
ISBN: 9789811940163
Publisher: SPRINGER VERLAG, SINGAPORE
Release Date: September of 2022
Language: English
Dimensions: 155 x 235 x 20 mm
Cover: Hardcover
Pages: 84
Format: Book
Collection: Studies In Computational Intelligence
Categories: Books in English > Science > Mathematics
Books in English > Others
EAN: 9789811940163

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