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Hands-On Edge Analytics with Azure IoT

You're reading from   Hands-On Edge Analytics with Azure IoT Design and develop IoT applications with edge analytical solutions including Azure IoT Edge

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781838829902
Length 262 pages
Edition 1st Edition
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Author (1):
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Colin Dow Colin Dow
Author Profile Icon Colin Dow
Colin Dow
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Table of Contents (15) Chapters Close

Preface 1. Section 1: Getting Started with Edge Analytics
2. Introduction to Edge Analytics FREE CHAPTER 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

Protecting our edge analytics applications

Protecting our edge analytics applications may be a simple matter of changing our passwords frequently or placing our edge devices in secure locations. Also, the use of SSL certificates ensures that the data we transmit across the internet is encrypted. In this section, we will discuss some of the methods of ensuring our edge analytics applications are as secure as possible from cyber crime. We will start by looking at passwords.

Passwords and updates

In Chapter 6, Using MicroPython for Edge Analytics, we used a few microcontrollers as edge devices. Microcontrollers, such as Pycom's LoPy, use default usernames and passwords for both the WiFi access point and FTP file transfers...

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