Mohammad Z. Masoud

RESATTN-CPS: Deep Residual Attention Autoencoders For Water Infrastructure Security

Multivariate time-series anomaly detection in critical water infrastructure requires both robust feature representation and adaptive thresholding to suppress false alarms while detecting subtle attacks. In this work, we present a Residual-Attention Autoencoder framework engineered for cyber-physical (ResAttn-CPS) attac...