Machine Learning for Embedded System Security

by Basel Halak

Book Overview

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 PUF architectures. The second discusses...

• Format: Paperback
• Language: English
• ISBN: 3030941809
• ISBN13: 9783030941802
• Release Date: April 2023
• Publisher: Springer
• Length: 160 Pages
• Weight: 0.57 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"