Anomaly Detection for GOOSE Spoofing Attacks in Digital Substations Using Deep Learning Models: A DNN and LSTM Approach - Fernando, Trinal; Ramachandran, Gowri; Vilathgamuwa, Mahinda; Jayalath, Dhammika (IEEE access, 2025)
Keywords: Adaptation models; Analytical models; Anomalies; Anomaly detection; Artificial neural networks; autoencoders; Critical infrastructure; Cybersecurity; Datasets; Deep learning; digital substations; DNN; Feature extraction; GOOSE protocol; Long short term memory; LSTM; Machine learning; Messages; Object oriented modeling; Protocols; Real time; Real-time systems; Spoofing; Spoofing attacks; Substations