Hardware Security A Hands On Learning Approach Pdf
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Hardware Security
Hardware Security: A Hands-On Learning Approach provides a broad, comprehensive and practical overview of hardware security that encompasses all levels of the electronic hardware infrastructure. It covers basic concepts like advanced attack techniques and countermeasures that are illustrated through theory, case studies and well-designed, hands-on laboratory exercises for each key concept. The book is ideal as a textbook for upper-level undergraduate students studying computer engineering, computer science, electrical engineering, and biomedical engineering, but is also a handy reference for graduate students, researchers and industry professionals. For academic courses, the book contains a robust suite of teaching ancillaries. Users will be able to access schematic, layout and design files for a printed circuit board for hardware hacking (i.e. the HaHa board) that can be used by instructors to fabricate boards, a suite of videos that demonstrate different hardware vulnerabilities, hardware attacks and countermeasures, and a detailed description and user manual for companion materials. - Provides a thorough overview of computer hardware, including the fundamentals of computer systems and the implications of security risks - Includes discussion of the liability, safety and privacy implications of hardware and software security and interaction - Gives insights on a wide range of security, trust issues and emerging attacks and protection mechanisms in the electronic hardware lifecycle, from design, fabrication, test, and distribution, straight through to supply chain and deployment in the field - A full range of instructor and student support materials can be found on the authors' own website for the book: http://hwsecuritybook.org
CAD for Hardware Security
Author: Farimah Farahmandi
language: en
Publisher: Springer Nature
Release Date: 2023-05-11
This book provides an overview of current hardware security problems and highlights how these issues can be efficiently addressed using computer-aided design (CAD) tools. Authors are from CAD developers, IP developers, SOC designers as well as SoC verification experts. Readers will gain a comprehensive understanding of SoC security vulnerabilities and how to overcome them, through an efficient combination of proactive countermeasures and a wide variety of CAD solutions.
Deep Learning for Computational Problems in Hardware Security
Author: Pranesh Santikellur
language: en
Publisher: Springer Nature
Release Date: 2022-09-15
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. The volume is self-contained and includes a comprehensive background on PUF circuits, and the necessary mathematical foundation of traditional and advanced machine learning techniques such as support vector machines, logistic regression, neural networks, and deep learning. This book can be used as a self-learning resource for researchers and practitioners of hardware security, and will also be suitable for graduate-level courses on hardware security and application of machine learning in hardware security. A stand-out feature of the book is the availability of reference software code and datasets to replicate the experiments described in the book.