Pranesh Santikellur,Rajat Subhra Chakraborty
Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits
Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits
We can order this item for you. Delivery usually takes about 4 to 6 weeks.
This item is not held in our immediate stock. We will order it for you after checkout.
Estimated delivery: About 4 to 6 weeks
YOU SAVE £18.18
- Condition: Brand new
- UK Delivery times: Usually arrives within 2 - 3 working days
- UK Shipping: Fee starts at £3.89. Subject to product weight & dimension
Bulk ordering. Want 15 or more copies? Get a personalised quote and bigger discounts. Learn more about bulk orders.
Couldn't load pickup availability
- More about Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits
Format: Paperback / softback
Length: 84 pages
Publication date: 17 September 2023
Publisher: Springer Verlag, Singapore
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.
Dimension: 235 x 155 (mm)
ISBN-13: 9789811940194
Edition number: 1st ed. 2023
UK and International shipping information
UK and International shipping information
We deliver throughout the United Kingdom and to 128 countries and territories worldwide, including the United States, Australia, Canada, Germany, Spain and France.
