Department of Information Security, Shanghai University of Electric Power, Shanghai, China
Department of Information Security, Shanghai University of Electric Power, Shanghai, China
National Energy Distributed Energy Technology Research and Development (Experimental) Center, Huadian Electric Power Research Institute Co., LTD., Hangzhou, China
National Energy Distributed Energy Technology Research and Development (Experimental) Center, Huadian Electric Power Research Institute Co., LTD., Hangzhou, China
Shanghai Cloud Information Technology Co., LTD., Shanghai, China
Copyright © 2018 Can Yang, Yong Wang, Yuhao Zhou, Jiongming Ruan, Wei Liu et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Yang, C. , Wang, Y. , Zhou, Y. , Ruan, J. and Liu, W. (2018) False Data Injection Attacks Detection in Power System Using Machine Learning Method.
Journal of Computer and Communications,
6, 276-286. doi:
10.4236/jcc.2018.611025.