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Title:
MULTI-TERMINAL COLLABORATIVE DYNAMIC SECURITY ANALYSIS METHOD AND SYSTEM FOR DISTRIBUTED POWER SUPPLY
Document Type and Number:
WIPO Patent Application WO/2024/051822
Kind Code:
A1
Abstract:
A multi-terminal collaborative dynamic security analysis method and system for a distributed power supply. The method comprises: establishing a physical information network topology model of a distributed power supply control system; updating information-domain security risk probabilities and physical-domain security risk probabilities of other devices, and realizing a dynamic physical information security risk network topological graph; searching for a target attack path according to different attack entries and attack intensities; and completing damage degree evaluation by taking the target attack path as a guide.

Inventors:
ZHENG ZIHUAI (CN)
QIAN JIANGUO (CN)
JIN XUEQI (CN)
WANG ZHOUHONG (CN)
HONG LEI (CN)
DAN ZIHAO (CN)
KONG PIAOHONG (CN)
ZHENG YUANDE (CN)
ZHU YIZHI (CN)
PAN KAIKAI (CN)
XU WENYUAN (CN)
HUANG YINQIANG (CN)
Application Number:
PCT/CN2023/117740
Publication Date:
March 14, 2024
Filing Date:
September 08, 2023
Export Citation:
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Assignee:
STATE GRID TAIZHOU POWER SUPPLY COMPANY (CN)
International Classes:
H04L9/40; H04L41/12
Domestic Patent References:
WO2020046286A12020-03-05
Foreign References:
CN116318754A2023-06-23
CN109191326A2019-01-11
CN110022293A2019-07-16
CN109767352A2019-05-17
Other References:
DU HAOLIANG; KONG PIAOHONG; JIN XUEQI; HUANG YINQIANG: "Traffic Anomaly Detection of Power Communication Networks Based on Deep Learning", ZHEJIANG ELECTRIC POWER, no. 12, 31 December 2021 (2021-12-31), pages 117 - 123, XP009553104, ISSN: 1007-1881, DOI: 10.19585/j.zjdl.202112016
Attorney, Agent or Firm:
BEYOND ATTORNEYS AT LAW (CN)
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