Frontiers of Quality Electronic Design (QED) : AI, IoT and Hardware Security / edited by Ali Iranmanesh.

Format:

Book

Contributor:

Iranmanesh, Ali, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Language:

English

Subjects (All):

Electronic circuits.

Embedded computer systems.

Electronic circuit design.

Electronic Circuits and Systems.

Embedded Systems.

Electronics Design and Verification.

Local Subjects:

Electronic Circuits and Systems.

Embedded Systems.

Electronics Design and Verification.

Physical Description:

1 online resource (XX, 679 pages) : 372 illustrations, 275 illustrations in color.

Edition:

1st ed. 2023.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2023.

System Details:

text file PDF

Summary:

Quality Electronic Design (QED)'s landscape spans a vast region where territories of many participating disciplines and technologies overlap. This book explores the latest trends in several key topics related to quality electronic design, with emphasis on Hardware Security, Cybersecurity, Machine Learning, and application of Artificial Intelligence (AI). The book includes topics in nonvolatile memories (NVM), Internet of Things (IoT), FPGA, and Neural Networks. Discusses state-of-the-art in electronics design process, semiconductor memories, FPGA, hardware security, and cybersecurity; Highlights trends, challenges and solutions; Explores application of Machine Learning and Artificial Intelligence in design.

Contents:

Chapter 1. NAND Flash Memory Devices Security Enhancement Based on Physical Unclonable Functions

Chapter 2. ReRAM based Neuromorphic Computing

Chapter 3. Flash Technology for VLSI Design

Chapter 4. Non-volatile memory Technologies:Characteristics,Deployment and Research Challenges

Chapter 5. Data Analytics and Machine Learning for Coverage Closure

Chapter 6. Cell-Aware Model Generation by Using Machine Learning

Chapter 7. Neuromorphic Computing: A Path to Artificial Intelligence through Emulating Human Brains

Chapter 8. AI for Cybersecurity in Distributed Automotive IoT Systems

Chapter 9. Ultra-low Power Implementation of Neural Networks Using Inverter-based Memristive Crossbars

Chapter 10. AI based Hardware Security Methods for Internet-of-Things Applications

Chapter 11. Enabling Edge Computing Using Emerging Memory Technologies: From Device to Architecture

Chapter 12. IoT Commercial, Industrial Applications and AI-powered IoT

Chapter 13. Hardware and System Security - Attacks and Coun- termeasures Against Hardware Trojans

Chapter 14. FPGA Security: Security Threats from Untrusted FPGA CAD Toolchain

Chapter 15. DoS Attack Models and Mitigation Frameworks for NoC-based SoCs

Chapter 16. Defense against security threats with regard to SoC Life Cycle

Chapter 17. Defect Diagnosis Techniques for Silicon Customer Returns.

Other Format:

Printed edition:

ISBN:

978-3-031-16344-9

9783031163449

Access Restriction:

Restricted for use by site license.