Without losing typical performance, the model was able to swiftly and effectively identify and block attacks ... feature extender module, anomaly detection module, and anomaly mitigation module. The ...

Anomaly detection also prevents data breaches. By monitoring user behavior, network traffic, and system activity, these systems can pick up on subtle indicators of compromise that would otherwise be ...

To address these issues, the multiscale Transformers with contrastive learning for UAV anomaly detection (MTCL-UAV) is proposed to achieve adaptive multiscale modeling. The model is based on the ...

Abstract: With the improvement of hyperspectral image resolution, existing anomaly detection algorithms find it challenging to quickly process large volumes of hyperspectral data while fully ...

In this study, we applied the anomaly detection method based on sparse structure learning of the element correlation within MD trajectories to identify important features associated with state ...

There was an error while loading. Please reload this page. A collection of papers on anomaly detection (tabular data/time series/image/video/graph/text/log) with the ...