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JUCS - Journal of Universal Computer Science 32(9): 1261-1288
doi: 10.3897/jucs.207783
Received: 14 Jul 2025 | Approved: 07 Jul 2026 | Published: 14 Sep 2026
This article is part of:
JUCS - Journal of Universal Computer Science 32(9): Artificial Intelligence-Driven Information Security and Privacy Enhancement Technologies
Authors
   
Shaofeng Ming
Electric Power Research Institute of Guangxi Power Grid Co., Nanning, China
Northeast Electric Power University, Jilin, China
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Ying Ling
Guangxi Power Grid Company Limited, Nanning, China
Northeast Electric Power University, Jilin, China
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Xin Li - Corresponding author
Electric Power Research Institute of Guangxi Power Grid Co., Nanning, China
Northeast Electric Power University, Jilin, China
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Songming Han
Electric Power Research Institute of Guangxi Power Grid Co., Nanning, China
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Zhengwang Miao
Northeast Electric Power University, Jilin, China
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Xizheng Pan
Northeast Electric Power University, Jilin, China
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Author contributions

Shaofeng Ming: Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Software, Validation, Writing – original draft, Writing – review & editing. Ying Ling:  Conceptualization, Data curation, Formal analysis, Resources, Software, Writing – original draft. Xin Li:  Conceptualization, Data curation, Methodology, Software. Songming Han: Data curation, Writing – original draft. Zhengwang Miao: Software, Writing – original draft, Writing – review & editing. Xizheng Pan:  Methodology, Software, Data curation


Conflict of interest
The authors have declared that no competing interests exist.
Supporting agencies
Electric Power Research Institute of Guangxi Power Grid Co., Ltd. Technology Project (Project Number: GXKJXM20240094)
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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