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Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study
With the ever-increasing reliance on digital networks for various aspects of modern life, ensuring their security has become a critical challenge.
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices
Our framework is also generalisable, adapting to new sensor streams and environments with minimal online reconfiguration.
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