Machine Learning based Post Event Analysis for Cybersecurity of Cyber-Physical System

J. Hong, Y.-H. Kim, H. Nhung-Nguyen, J. Kwon, and H. Lee, “Deep-learning based fault events analysis in power systems,” Energies , vol. 15, no. 15, 2022. [Online]. Available: https://www.mdpi.com/1996-1073/15/15/5539

1996

Earlier work this paper cites.

T. S. Ustun, S. M. S. Hussain, L. Yavuz, and A. Onen, “Artificial intelligence based intrusion detection system for iec 61850 sampled values under symmetric and asymmetric faults,” IEEE Access , vol. 9, pp. 56 486–56 495, 2021

2021

Earlier work this paper cites.

Y. M. Khaw, A. Abiri Jahromi, M. F. M. Arani, S. Sanner, D. Kundur, and M. Kassouf, “A deep learning-based cyberattack detection system for transmission protective relays,” IEEE Transactions on Smart Grid , vol. 12, no. 3, pp. 2554–2565, 2021

2021

Earlier work this paper cites.

S. Tufail, S. Batool, and A. I. Sarwat, “False data injection impact analysis in ai-based smart grid,” in SoutheastCon 2021 , 2021, pp. 01–07

2021

Cited alongside, same era.

P. Kumar, B. Bag, N. D. Londhe, and A. Tikariha, “Classification and analysis of power system faults in ieee-14 bus system using machine learning algorithm,” in 2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) , 2021, pp. 122–126

2021

Cited alongside, same era.

J. Hong, R. Karnati, C.-W. Ten, S. Lee, and S. Choi, “Implementation of secure sampled value (SeSV) messages in substation automation system,” IEEE Transactions on Power Delivery , pp. 405–414, 2021

2021

Cited alongside, same era.

E. Xu, H. Wang, and Y. Zhang, “A study on transmission line protection using incident current,” in 2023 IEEE International Conference on Advanced Power System Automation and Protection (APAP) , 2023, pp. 371–377

2023

Closest in time.

R. Valiyil and J. Gangadharan, “Rolling average-decision tree-based fault detection of neutral point clamped inverters,” IEEE Journal of Emerging and Selected Topics in Industrial Electronics , vol. 4, no. 3, pp. 744–755, 2023

2023

Closest in time.

P. Sun, X. Liu, M. Lin, J. Wang, T. Jiang, and Y. Wang, “Transmission line fault diagnosis method based on improved multiple svm model,” IEEE Access , vol. 11, pp. 133 825–133 834, 2023

2023

Closest in time.