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Hands-On Deep Learning for IoT
book

Hands-On Deep Learning for IoT

by Dr. Mohammad Abdur Razzaque, Md. Rezaul Karim
June 2019
Intermediate to advanced
308 pages
7h 21m
English
Packt Publishing
Content preview from Hands-On Deep Learning for IoT

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 ...

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Publisher Resources

ISBN: 9781789616132