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JUCS - Journal of Universal Computer Science 32(9): 1354-1374
doi: 10.3897/jucs.207845
Received: 02 Dec 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
   
Dingxing Xie
National University of Defense Technology, Changsha, China
Chinese People’s Armed Police Corps Hospital of Fujian, Fuzhou, China
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Xiaochuan Hu
Chinese People’s Armed Police Corps of Hunan, Changsha, China
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Lin Peng
National University of Defense Technology, Changsha, China
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Gencheng Liu
National University of Defense Technology, Changsha, China
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Naijun Cheng
Chinese People’s Armed Police Corps Hospital of Sichuan, Leshan, China
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Jie Liu
National University of Defense Technology, Changsha, China
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Yang Zhang - Corresponding author
Chinese People’s Armed Police Corps Hospital of Beijing, Beijing, China
Chinese PLA General Hospital, Beijing, China
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Author contributions
I conceived and designed the overall study, developed the experimental protocols, and performed all major experiments, including [briefly specify, e.g., sample preparation, data acquisition, and/or computational simulations]. I analysed and interpreted the resulting data, implemented the necessary quality controls, and took the lead in drafting and revising the manuscript. I also coordinated with co‑authors on technical troubleshooting and ensured the reproducibility of all reported results. All figures, tables, and supplementary materials were prepared under my direct supervision, and I approved the final version for submission.
Conflict of interest
The authors have declared that no competing interests exist.
Supporting agencies
the National Key Research and Development Program of China (Nos. 2023YFB3002300, 2021YFB0300101), the National Natural Science Foundation of China (Grant Nos. 61902413, 12102468, 12002380), and the National University of Defense Technology Foundation (Nos. ZK21-02, ZK20-52).
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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