Markov temporal anomaly detection model based on deep autoencoder feature spaces
Anomaly detection in high-dimensional temporal data remains a fundamental challenge in Internet of Things (IoT) security and low-altitude surveillance systems. While deep autoencoders excel at extracting compact feature representations, they lack explicit temporal modeling capabilities. Existing approaches typically re...