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Hands-On Edge Analytics with Azure IoT

You're reading from  Hands-On Edge Analytics with Azure IoT

Product type Book
Published in May 2020
Publisher Packt
ISBN-13 9781838829902
Pages 262 pages
Edition 1st Edition
Languages
Author (1):
Colin Dow Colin Dow
Profile icon Colin Dow

Table of Contents (15) Chapters

Preface 1. Section 1: Getting Started with Edge Analytics
2. Introduction to Edge Analytics 3. How Does IoT Edge Analytics Work? 4. Communications Protocols Used in Edge Analytics 5. Section 2: Understanding Edge Analytics Technologies
6. Working with Microsoft Azure IoT Hub 7. Using the Raspberry Pi with Azure IoT Edge 8. Using MicroPython for Edge Analytics 9. Machine Learning and Edge Analytics 10. Designing a Smart Doorbell with Visual Recognition 11. Section 3: The Road Ahead
12. Security and Privacy in an Edge Analytics World 13. What Next? 14. Other Books You May Enjoy

Types of attacks against our edge analytics applications

By its very nature, an edge analytics application is more secure than a pure IoT application. This is due to the fact that we limit the amount of information that is transmitted over the internet. However, there are still security concerns we must take into account.

The following are three examples of these concerns.

Vulnerability issues

Vulnerabilities in our internet-facing interfaces may be exploited by cyber criminals. These vulnerabilities include using default passwords and out-of-date software updates. In the following diagram, we can see the vulnerabilities of the internet-facing interfaces of the smart doorbell application we built in the previous chapter:

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