Enhancing Operational Security of Human-to-Machine Applications through Concept Drift Detection

We propose a novel concept drift detection framework to detect and mitigate malicious traffic for human-to-machine applications in fiber-wireless access networks, reducing uplink latency by up to 98% and enhancing its operational security.