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Analytics for the Internet of Things (IoT)

You're reading from   Analytics for the Internet of Things (IoT) Intelligent analytics for your intelligent devices

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787120730
Length 378 pages
Edition 1st Edition
Languages
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Author (1):
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Andrew Minteer Andrew Minteer
Author Profile Icon Andrew Minteer
Andrew Minteer
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Table of Contents (14) Chapters Close

Preface 1. Defining IoT Analytics and Challenges 2. IoT Devices and Networking Protocols FREE CHAPTER 3. IoT Analytics for the Cloud 4. Creating an AWS Cloud Analytics Environment 5. Collecting All That Data - Strategies and Techniques 6. Getting to Know Your Data - Exploring IoT Data 7. Decorating Your Data - Adding External Datasets to Innovate 8. Communicating with Others - Visualization and Dashboarding 9. Applying Geospatial Analytics to IoT Data 10. Data Science for IoT Analytics 11. Strategies to Organize Data for Analytics 12. The Economics of IoT Analytics 13. Bringing It All Together

Cloud security and analytics


You can build security into analytics using several methods supported by major cloud infrastructure providers.

Public/private keys

Cloud providers use asymmetric cryptography throughout their services. The public and private keys are generated. You keep the private key, so the service does not have a copy. The service holds the public key. Communication using public/private key is secure and has never been broken.

The cloud provider could publish the public key in tomorrow's newspaper and it would not matter; the encryption cannot be broken with just the public key. It may seem counterintuitive that a public key is used to encrypt data but cannot be used to decrypt it. But it works.

Every time you visit a website starting with HTTPS:, a public/private key encryption is being used. It is the basis of SSL and TLS encryption, which is employed for HTTPS communications.

You will use the public/private keys often for IoT analytics when you build secure processes. Think...

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