Non-local attention enhanced deep learning for robust cyberattack detection in industrial IoT-based SCADA systems

Nature·Feb 9

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Research has focused on developing deep learning techniques for detecting cyberattacks in various networks, including industrial IoT-based SCADA systems and medical IoT networks. Different approaches have been proposed, such as using non-local attention, multi-relational graph attention networks, and hybrid optimization-based frameworks. The goal of these efforts is to enhance the robustness of cyberattack detection in different types of networks, including IoT and IIoT environments.

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