The Next Era in Hardware Security, 1st ed. 2021 A Perspective on Emerging Technologies for Secure Electronics

This book provides a comprehensive coverage of hardware security concepts, derived from the unique characteristics of emerging logic and memory devices and related architectures. The primary focus is on mapping device-specific properties, such as multi-functionality, runtime polymorphism, intrinsic entropy, nonlinearity, ease of heterogeneous integration, and tamper-resilience to the corresponding security primitives that they help realize, such as static and dynamic camouflaging, true random number generation, physically unclonable functions, secure heterogeneous and large-scale systems, and tamper-proof memories. The authors discuss several device technologies offering the desired properties (including spintronics switches, memristors, silicon nanowire transistors and ferroelectric devices) for such security primitives and schemes, while also providing a detailed case study for each of the outlined security applications. Overall, the book gives a holistic perspective of how the promising properties found in emerging devices, which are not readily afforded by traditional CMOS devices and systems, can help advance the field of hardware security.

Introduction.- Reconfigurability for Static Camouflaging.- Runtime Polymorphism for Dynamic Camouflaging.- Nonlinearity for Physically-Unclonable Functions.- Intrinsic Entropy for True Random Number Generation.- Heterogeneous Physical Integration for Securing the Hardware and the Runtime Data.- Tamper-Proof Hardware from Emerging Technologies.- Resilience Against Side-Channel Attacks in Emerging Technologies.- Conclusions.

Nikhil Rangarajan is a Postdoctoral Associate with the Design-for-Excellence Lab in the Division of Engineering, New York University Abu Dhabi, UAE. He received the M.S. and Ph.D. degrees in Electrical Engineering from New York University, NY, USA. Prior to his graduate studies, he completed his Bachelors in Electrical and Electronics Engineering from National Institute of Technology Tiruchirapalli, India. His research interests include spintronics, nanoelectronics, device physics, and hardware security. Recently, he has been working on the security promises of emerging devices in neuromorphic computation and secure storage applications.

 Satwik Patnaik received the B.E. degree in electronics and telecommunications from the University of Pune, India, the M.Tech. degree in computer science and engineering with a specialization in VLSI design from the Indian Institute of Information Technology and Management, Gwalior, India, and the Ph.D. degree in Electrical engineering from Tandon School of Engineering, New York University, Brooklyn, NY, USA in September 2020. He is currently a Post-Doctoral Researcher with the Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA. His current research interests include security of integrated circuits, IP protection techniques, and the usage of Machine Learning to solve hardware security problems. Further, his research delves into exploring the security properties of 3D architectures, leveraging the 3D paradigm for enhancing security, exploring security properties of emerging and up-and-coming devices, and side-channel evaluation. He received the Bronze Medal in the Graduate Category at the ACM/SIGDA Student Research Competition held at ICCAD 2018, and the Best Paper Award at the Applied Research Competition held in conjunction with Cyber Security Awareness Week, in 2017.

Johann Knechtel received the M.Sc. in Information Systems Engine

Presents clear and concise foundations of hardware security primitives driven by emerging technologies

Explains how emerging devices can enable security-centric circuit design practices

Illustrates recent, emerging security concepts with detailed case studies