Jaromír Klarák

Statistical Drift detection with parametric Gamma–Weibull and adaptive deep learning for malware detection in IoT data streams

Machine learning (ML) and deep learning (DL) models for Internet of Things (IoT) malware detection may experience performance degradation in non-stationary data streams due to evolving malware behavior, system updates, and dynamic network conditions. In this study, we present a statistically based drift-adaptive framew...