Data-driven deep learning methods have made significant strides in attack detection, with provenance graph analysis based on audit logs emerging as a key approach for identifying complex threats.

Magnetic Anomaly Detection (MAD) is a kind of covert passive method to detect ferromagnetic objects. Many MAD methods, such as Orthogonal Basis Function (OBF) which is very classical, are very ...