Network attack detection method for power system terminal based on improved random forest
Tong Wei Yu, Ming hui Xie, Xin Li, Ying Ling, Dongmei Bin, Chunyan Yang · 2021
research-article Network attack detection method for power system terminal based on improved random forest Share on Authors: Tong Yu Guangxi Power Grid Co., Ltd. Electric Power Research Institute, China Guangxi Power Grid Co., Ltd. Electric Power Research Institute, ChinaView Profile , Ming Xie Guangxi Power Grid Co., Ltd. Electric Power Research Institute, China Guangxi Power Grid Co., Ltd. Electric Power Research Institute, ChinaView Profile , Xin Li Guangxi Power Grid Co., Ltd. Electric Power Research Institute, China Guangxi Power Grid Co., Ltd. Electric Power Research Institute, ChinaView Profile , Ying Ling Guangxi Power Grid Co., Ltd. Electric Power Research Institute, China Guangxi Power Grid Co., Ltd. Electric Power Research Institute, ChinaView Profile , Dongmei Bin Guangxi Power Grid Co., Ltd. Electric Power Research Institute, China Guangxi Power Grid Co., Ltd. Electric Power Research Institute, ChinaView Profile , Chunyan Yang Guangxi Power Grid Co., Ltd. Electric Power Research Institute, China Guangxi Power Grid Co., Ltd. Electric Power Research Institute, ChinaView Profile Authors Info & Claims ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information SystemsMay 2021 Article No.: 85Pages 1–6https://doi.org/10.1145/3469213.3470286Online:18 August 2021Publication History 0citation14DownloadsMetricsTotal Citations0Total Downloads14Last 12 Months14Last 6 weeks3 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access