Ustun, T. S., Suhail Hussain, S., Ulutas, A., Onen, A., Roomi, M. M., Mashima, D., & SCIENCE, D. O. C. (2022). Machine learning-based intrusion detection for achieving cybersecurity in smart grids using IEC 61850 GOOSE messages. MDPI AG.
Chicago Style CitationUstun, Taha Selim, S.M Suhail Hussain, Ahsen Ulutas, Ahmet Onen, Muhammad M. Roomi, Daisuke Mashima, and DEPARTMENT OF COMPUTER SCIENCE. Machine Learning-based Intrusion Detection for Achieving Cybersecurity in Smart Grids Using IEC 61850 GOOSE Messages. MDPI AG, 2022.
MLA CitationUstun, Taha Selim, et al. Machine Learning-based Intrusion Detection for Achieving Cybersecurity in Smart Grids Using IEC 61850 GOOSE Messages. MDPI AG, 2022.
Warning: These citations may not always be 100% accurate.