Explore threat landscape and vulnerabilities facing the modern automotive systems
Apply security controls to all vehicle layers for mitigating cybersecurity risks in automotives
Find out how systematic secure engineering mitigates cyber risks while ensuring compliance
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Description
Replete with exciting challenges, automotive cybersecurity is an emerging domain, and cybersecurity is a foundational enabler for current and future connected vehicle features. This book addresses the severe talent shortage faced by the industry in meeting the demand for building cyber-resilient systems by consolidating practical topics on securing automotive systems to help automotive engineers gain a competitive edge.
The book begins by exploring present and future automotive vehicle architectures, along with relevant threats and the skills essential to addressing them. You’ll then explore cybersecurity engineering methods, focusing on compliance with existing automotive standards while making the process advantageous. The chapters are designed in a way to help you with both the theory and practice of building secure systems while considering the cost, time, and resource limitations of automotive engineering. The concluding chapters take a practical approach to threat modeling automotive systems and teach you how to implement security controls across different vehicle architecture layers.
By the end of this book, you'll have learned effective methods of handling cybersecurity risks in any automotive product, from single libraries to entire vehicle architectures.
What you will learn
Get to grips with present and future vehicle networking technologies
Explore basic concepts for securing automotive systems
Discover diverse approaches to threat modeling of systems
Conduct efficient threat analysis and risk assessment (TARA) for automotive systems using best practices
Gain a comprehensive understanding of ISO/SAE 21434's cybersecurity engineering approach
Implement cybersecurity controls for all vehicle life cycles
Dr. Ahmad MK Nasser is an automotive cybersecurity architect with a long experience in securing safety-critical systems. He started his career as a software engineer, building automotive network drivers, diagnostics protocols, and flash programming solutions. This naturally led him into the field of automotive cybersecurity, where he designed secure firmware solutions for various microcontrollers and SoCs, defined secure hardware and software architectures of embedded systems, and performed threat analysis of numerous vehicle architectures, ECUs, and smart sensors. Ahmad holds a B.S. and an M.S. in electrical and computer engineering from Wayne State University, as well as a Ph.D. in computer science from the University of Michigan in Dearborn. He is currently a principal security architect for NVIDIA's autonomous driving software platform.
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