Deep Learning For Computational Problems In Hardware Security
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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.
Information Security, Privacy and Digital Forensics
This volume comprises the select proceedings of the International Conference on Information Security, Privacy, and Digital Forensics (ICISPD 2022). The content discusses novel contributions and latest developments in cyber-attacks and defenses, computer forensics and cybersecurity database forensics, cyber threat intelligence, data analytics for security, anonymity, penetration testing, incident response, Internet of Things security, malware and botnets, social media security, humanitarian forensics, software and media piracy, crime analysis, hardware security, among others. This volume will be a useful guide for researchers across industry and academia working in the field of security, privacy, and digital forensics from both technological and social perspectives.
Hardware Security: Challenges and Solutions
This book provides a comprehensive overview of hardware security challenges and solutions, making it an essential resource for engineers, researchers, and students in the field. The authors cover a wide range of topics, from hardware design and implementation to attack models and countermeasures. They delve into the latest research and industry practices in the field, including techniques for secure chip design, hardware Trojan detection, side-channel attack mitigation, the threats and vulnerabilities facing modern hardware, the design and implementation of secure hardware, and the latest techniques for testing and verifying the security of hardware systems. The book also covers emerging technologies such as quantum computing and the Internet of Things, and their impact on hardware security. With its practical approach and extensive coverage of the subject, this book is an ideal reference for anyone working in the hardware security industry.