An abnormal behavior detection algorithm based on fuzzy clustering for multi-categories affiliation of power entities

An abnormal behavior detection algorithm based on fuzzy clustering for multi-categories affiliation of power entities

Aiming at the problems of complex behavior of power entities and concealed attack means in the digital active power grid,a multi-category attribution anomaly detection algorithm based on fuzzy clustering was proposed.Firstly,the similarity measurement method of power entity behavior was optimized,a...

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Bibliographic Details
Main Authors: Yuling GUO, Xiaojun ZUO, Jingyang CUI, Ying WANG, Guanghua ZHANG
Format: Article
Language:zho
Published: Hebei University of Science and Technology 2022-10-01
Series:Journal of Hebei University of Science and Technology
Subjects:
data security and computer security; user and entity behavior analysis; digital active power grid; fuzzy clustering; anomaly detection
Online Access:http://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b202205008&flag=1&journal_

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http://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b202205008&flag=1&journal_

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