Capa do artigo Deep Learning For Computational Problems In Hardware Security
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Deep Learning For Computational Problems In Hardware Security eBook

Modeling Attacks On Strong Physically Unclonable Function Circuits

by Pranesh Santikellur e Rajat Subhra Chakraborty
language: english
Publisher: Springer Nature Singapore, September of 2022 ‧
118,59€
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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: 9789811940170
Publisher: Springer Nature Singapore
Release Date: September of 2022
Language: English
Format: eBook
File Format and Compatibility:
Collection: Studies In Computational Intelligence
Categories: eBooks in English > Science > Mathematics
EAN: 9789811940170
Acessibilidade: Ver características de acessibilidade indicadas pelo editor

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