Robust detection for network intrusion of industrial IoT based on multi-CNN fusion
Abstract
A robust intrusion detection system plays a very important role in network security. In the face of complex network data and diverse intrusion methods, traditional machine learning methods seem to be inadequate and cannot meet the requirements of the current network environment. Existing deep learning-based methods are far from fully exploiting their potential in dealing with such one-dimensional feature data, and their performance is still...
Paper Details
Title
Robust detection for network intrusion of industrial IoT based on multi-CNN fusion
Published Date
Mar 1, 2020
Journal
Volume
154
Pages
107450 - 107450
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