Artificial Intelligence Based Intrusion Detection System for IEC 61850 Sampled Values under Symmetric and Asymmetric Faults

• Main Authors: Ustun, Taha Selim, Hussain, S. M. Suhail, Yavuz, Levent, Onen, Ahmet
• Other Authors: DEPARTMENT OF COMPUTER SCIENCE
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2022
• Subjects: artificial intelligence; IEC 62351; IEEE 14-bus system; intrusion detection; renewable energy; Smartgrid cybersecurity; SV message security
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/232547
• Institution: National University of Singapore

10.1109/access.2021.3071141