Real-Time Adaptive Anomaly Detection in Industrial IoT Environments
To ensure reliability and service availability, nextgeneration networks are expected to rely on automated anomaly detection systems powered by advanced machine learning methods with the capability of handling multi-dimensional data. Such multi-dimensional, heterogeneous data occurs mostly in todays Industrial Internet of Things (IIoT), where real-time detection of anomalies is critical to prevent To ensure reliability and service availability, nextgeneration networks are expected to rely on automated anomaly detection systems powered by advanced machine learning methods with the capability of handling multi-dimensional data. Such multi-dimensional, heterogeneous data occurs mostly in todays Industrial Internet of Things (IIoT), where real-time detection of anomalies is critical to prevent