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Practical Industrial Internet of Things Security

You're reading from   Practical Industrial Internet of Things Security A practitioner's guide to securing connected industries

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788832687
Length 324 pages
Edition 1st Edition
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Author (1):
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Sravani Bhattacharjee Sravani Bhattacharjee
Author Profile Icon Sravani Bhattacharjee
Sravani Bhattacharjee
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Table of Contents (14) Chapters Close

Preface 1. An Unprecedented Opportunity at Stake FREE CHAPTER 2. Industrial IoT Dataflow and Security Architecture 3. IIoT Identity and Access Management 4. Endpoint Security and Trustworthiness 5. Securing Connectivity and Communications 6. Securing IIoT Edge, Cloud, and Apps 7. Secure Processes and Governance 8. IIoT Security Using Emerging Technologies 9. Real-World Case Studies in IIoT Security 10. The Road Ahead 11. I
12. II 13. Other Books You May Enjoy

Cognitive countermeasures – AI, machine learning, and deep learning


Cognitive computing is highly relevant and increasingly indispensable to industrial IoT use cases, where machines can make autonomous decisions based on IoT device data, and can also protect themselves against external threats and malicious attacks. This may not be merely sci-fi imagination, as it was a decade ago.

Computer visionaries such as Alan Turing were optimistic about artificial intelligence (AI) since the 1950s. However, the recent spike in interest and research on AI owe to faster, cheaper, and more powerful parallel processing using GPUs, coupled with a steady growth in data sciences. Pure AI—where machines and robots can operate and decide with full autonomy—is still a long way away. However, practical AI, where cognitive computing augments human expertise, is already a reality. Machine learning and its specialized branch, called deep learning, are currently the main drivers behind cognitive IoT and practical...

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