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Automotive Cybersecurity Engineering Handbook

You're reading from   Automotive Cybersecurity Engineering Handbook The automotive engineer's roadmap to cyber-resilient vehicles

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781801076531
Length 392 pages
Edition 1st Edition
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Author (1):
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Dr. Ahmad MK Nasser Dr. Ahmad MK Nasser
Author Profile Icon Dr. Ahmad MK Nasser
Dr. Ahmad MK Nasser
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Toc

Table of Contents (15) Chapters Close

Preface 1. Part 1:Understanding the Cybersecurity Relevance of the Vehicle Electrical Architecture
2. Chapter 1: Introducing the Vehicle Electrical/Electronic Architecture FREE CHAPTER 3. Chapter 2: Cybersecurity Basics for Automotive Use Cases 4. Chapter 3: Threat Landscape against Vehicle Components 5. Part 2: Understanding the Secure Engineering Development Process
6. Chapter 4: Exploring the Landscape of Automotive Cybersecurity Standards 7. Chapter 5: Taking a Deep Dive into ISO/SAE21434 8. Chapter 6: Interactions Between Functional Safety and Cybersecurity 9. Part 3: Executing the Process to Engineer a Secure Automotive Product
10. Chapter 7: A Practical Threat Modeling Approach for Automotive Systems 11. Chapter 8: Vehicle-Level Security Controls 12. Chapter 9: ECU-Level Security Controls 13. Index 14. Other Books You May Enjoy

Secure coding practices versus safe coding techniques

Similar to the design principles, coding guidelines between safety and security have a high degree of correlation. Both safety and security engineering approaches aim to reduce code complexity to prevent defects and vulnerabilities. They both require the usage of language subsets to avoid risky features of the programming language that can introduce unexpected or unwanted behavior. This can be enforced by using static code analysis tools based on MISRA C, CERT C/C++, and AUTOSAR C++. Normally, the toolchains support the safety and security guidelines, allowing the developers to check for all coding rule violations in a single run. When it comes to defensive coding techniques, there is a high degree of overlap between several such techniques:

  • Input validation requires all inputs from external sources to be validated to ensure they conform to the expected formats, ranges, and data types. This can help prevent working on implausible...
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