A novel intrusion detection framework using hybrid deep learning to detect IIoT cloud environments attacks

Nature·Apr 7

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Researchers are exploring various deep learning frameworks for intrusion detection in internet of things (iot) and industrial internet of things (iiot) networks. These frameworks often involve hybrid approaches, combining different techniques such as convolutional neural networks, recurrent neural networks, and optimization algorithms. The goal of these frameworks is to improve the security of iot and iiot networks by detecting potential attacks and intrusions.

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