Machine Learning for Embedded System Security -
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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-learning-based modeling attacks on physically unclonable functions and outlines the design principles of more resilient P ... Pilns apraksts
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Aprašymas
Vairāk informācijas
| Izdevējs | Springer Nature Switzerland |
|---|---|
| Izlaides gads | 2023 |
| Vāka tips | Mīkstais vāks |
| EAN | 9783030941802 |