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Hands-On Deep Learning for IoT

You're reading from   Hands-On Deep Learning for IoT Train neural network models to develop intelligent IoT applications

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789616132
Length 308 pages
Edition 1st Edition
Languages
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Authors (3):
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Aditya Trivedi Aditya Trivedi
Author Profile Icon Aditya Trivedi
Aditya Trivedi
Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
Dr. Mohammad Abdur Razzaque Dr. Mohammad Abdur Razzaque
Author Profile Icon Dr. Mohammad Abdur Razzaque
Dr. Mohammad Abdur Razzaque
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1: IoT Ecosystems, Deep Learning Techniques, and Frameworks FREE CHAPTER
2. The End-to-End Life Cycle of the IoT 3. Deep Learning Architectures for IoT 4. Section 2: Hands-On Deep Learning Application Development for IoT
5. Image Recognition in IoT 6. Audio/Speech/Voice Recognition in IoT 7. Indoor Localization in IoT 8. Physiological and Psychological State Detection in IoT 9. IoT Security 10. Section 3: Advanced Aspects and Analytics in IoT
11. Predictive Maintenance for IoT 12. Deep Learning in Healthcare IoT 13. What's Next - Wrapping Up and Future Directions 14. Other Books You May Enjoy

IoT Security

The use of IoT is growing at a dangerously fast pace, and both researchers and industries have estimated that, the number of active wirelessly connected devices will exceed 20 billion. This exponential growth of IoT devices is increasing the risks to our lives and property, as well as to the entire IT industry. To have more connected devices means more attack vectors, and more opportunities for hackers to exploit. In this context, secure IoT is not only essential for its applications, but also for the rest of the IT industry.

In IoT security solutions, networks and devices can be viewed as either signature-based or behavior-based. Behavior-based solutions, such as anomaly detection, are preferable in IoT as preparing and maintaining signatures of dynamic and unknown IoT attacks is very difficult. Similarly to human behavior analysis, deep learning (DL)/machine...

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