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Designing Production-Grade and Large-Scale IoT Solutions.

You're reading from  Designing Production-Grade and Large-Scale IoT Solutions.

Product type Book
Published in May 2022
Publisher Packt
ISBN-13 9781838829254
Pages 412 pages
Edition 1st Edition
Languages
Author (1):
Mohamed Abdelaziz Mohamed Abdelaziz
Profile icon Mohamed Abdelaziz

Table of Contents (15) Chapters

Preface 1. Section 1: Anatomy of IoT
2. Chapter 1: Introduction to the IoT – The Big Picture 3. Chapter 2: The "I" in IoT – IoT Connectivity 4. Chapter 3: The "T" in IoT – Devices and Edge 5. Section 2: The IoT Backend (aka the IoT Cloud)
6. Chapter 4: Diving Deep into the IoT Backend (the IoT Cloud) 7. Chapter 5: Exploring IoT Platforms 8. Chapter 6: Understanding IoT Device Management 9. Chapter 7: In the End, It Is All about Data, Isn't it? 10. Section 3: IoT Application Architecture Paradigms and IoT Operational Excellence
11. Chapter 8: IoT Application Architecture Paradigms 12. Chapter 9: Operational Excellence Pillars for Production-Grade IoT Solutions 13. Chapter 10: Wrapping Up and Final Thoughts 14. Other Books You May Enjoy

IoT solution security

An IoT security breach is dangerous and scary. In traditional IT systems, the impact and consequences of security breaches are still not considered life-threatening impacts. Such impacts (in non-IoT solutions) typically include things such as data privacy breaches or financial impacts, but in the IoT world, the story is different. IoT will share those common security breach impacts of hacked traditional IT systems, plus some other dangerous threats that have a very severe impact on human life (life-threatening). How? Let's talk about an IoT solution in the healthcare sector. Think about a patient who has been equipped with lots of IoT devices and sensors that frequently send the patient's biometrics to a healthcare professional to assess the patient's health status and intervene quickly if needed. Now, if those devices have been hacked, what will be the situation if the attacker/hacker sends fake or false biometrics data (note: in that situation...

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