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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

Use case two: traffic-based intelligent network intrusion detection in IoT

Generally, host intrusion (including device level intrusion) exploits outside world communications, and most of the time a successful host intrusion comes with the success of a network intrusion. For example, in botnets, remote command-and-control servers communicate with the compromised machines to give instructions on operations to execute. More importantly, a large number of insecure IoT devices has resulted in a surge of IoT botnet attacks in worldwide IT infrastructure. The Dyn domain name system (DNS) attack in October 2016 is an example of this, wherein the Mirai botnet commanded 100,000 IoT devices to launch the DDoS attack. This incident impacted many popular ...

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Publisher Resources

ISBN: 9781789616132