Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits - Studies in Computational Intelligence - Pranesh Santikellur - Books - Springer Verlag, Singapore - 9789811940163 - September 16, 2022
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Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits - Studies in Computational Intelligence 2023 edition

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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.


84 pages, 18 Illustrations, color; 13 Illustrations, black and white; XIII, 84 p. 31 illus., 18 illu

Media Books     Hardcover Book   (Book with hard spine and cover)
Released September 16, 2022
ISBN13 9789811940163
Publishers Springer Verlag, Singapore
Pages 84
Dimensions 242 × 163 × 12 mm   ·   308 g