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Building Secure Automotive IoT Applications

You're reading from   Building Secure Automotive IoT Applications Developing robust IoT solutions for next-gen automotive software

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835465509
Length 358 pages
Edition 1st Edition
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Authors (4):
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Dr. Dennis Kengo Oka Dr. Dennis Kengo Oka
Author Profile Icon Dr. Dennis Kengo Oka
Dr. Dennis Kengo Oka
Jeff Yost Jeff Yost
Author Profile Icon Jeff Yost
Jeff Yost
Sharanukumar Nadahalli Sharanukumar Nadahalli
Author Profile Icon Sharanukumar Nadahalli
Sharanukumar Nadahalli
Ram Prasad Bojanki Ram Prasad Bojanki
Author Profile Icon Ram Prasad Bojanki
Ram Prasad Bojanki
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Toc

Table of Contents (22) Chapters Close

Preface 1. Part 1: Introduction to Automotive IoT FREE CHAPTER
2. Chapter 1: Automotive Technology Trends 3. Chapter 2: Introducing Automotive IoT Use Cases 4. Part 2: Vehicle Architectures
5. Chapter 3: Vehicle Architecture and Frameworks 6. Chapter 4: Vehicle Diagnostics 7. Chapter 5: Next Wave of Vehicle Diagnostics 8. Part 3: Secure Development for Automotive IoT
9. Chapter 6: Exploring Secure Development Processes for Automotive IoT 10. Chapter 7: Establishing a Secure Software Development Platform 11. Chapter 8: Securing the Software Supply Chain 12. Part 4: Automotive IoT Application Life Cycle
13. Chapter 9: System Design of an Automotive IoT Application 14. Chapter 10: Developing an Automotive IoT Application 15. Chapter 11: Deploying and Maintaining an Automotive IoT Application 16. Part 5: Automotive Software Insights
17. Chapter 12: Processes and Practices 18. Chapter 13: Embedded Automotive IoT Development 19. Chapter 14: Final Thoughts 20. Index 21. Other Books You May Enjoy

DoIP

The automotive industry is going through a major transition due to autonomous driving (AD), software-defined vehicles (SDVs), and connected vehicles. AD refers to vehicles that can operate without human intervention. These vehicles use advanced technologies such as sensors, cameras, radar, and artificial intelligence (AI) to navigate and make decisions on the road. An SDV is a concept where much of the vehicle’s functionality is controlled and defined by software rather than traditional hardware. This approach allows for greater flexibility and adaptability as features and functions can be updated or modified through software updates, similar to how apps are updated on a smartphone. Connected vehicles are equipped with communication technologies that allow them to share data with other vehicles, infrastructure, and the cloud. This connectivity enhances safety, efficiency, and convenience. Example enhancements include vehicles communicating with each other to avoid collisions...

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