Dynamic Security Computing Framework With Zero Trust Based on Privacy Domain Prevention and Control Theory
Abstract
With a growing security threat in wireless communication networks, a promising method for secure next-generation networks is a zero-trust framework focusing on authentication schemes. How to analyze the risks involved in authentication is a challenge. This study quantifies authentication risks within the zero-trust framework and introduces a privacy domain prevention-control theory. The theory encompasses dynamic privacy risk assessment, intelligent risk classification, and automated selection of privacy protection schemes. First, a dynamic privacy risk assessment method, based on physical entity relationships, is proposed to evaluate all privacy risks. Second, a five-category risk classification method is designed to categorize privacy risks, facilitating the selection of prevention-control schemes, with its rationality mathematically validated. Additionally, an Analytical Hierarchy Process (AHP)-based method is introduced to guide the optimal selection of prevention-control schemes for various scenarios. Finally, the practical application of the theory in medicine multi-modal computing scene of wireless body area networks demonstrates its effectiveness. The experimental results also show the superiority and feasibility of the proposed methods.
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Memory replay strategies effectively preserve historical distributions but face practical constraints in storage and privacy.
“Memory replay strategies effectively preserve historical distributions but face practical constraints in storage and privacy, particularly in real-world deployments where sensitive data must be protected51,52.”
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- Authors
- Wu, X., Zou, B., Lu, C., Wang, L., Zhang, Y., & Wang, H.
- Affiliations
- Xuzhou Medical College (CN)
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2025-06
- Volume
- 43
- Issue
- 6
- Pages
- 2266-2278
- ISSN
- 0733-8716 (ISSN-L)
- 1558-0008
- OpenAlex
- W4409474274
- Cited by
- 65
- References
- 44
- Citations by year
- 2026: 39 · 2025: 26
- FWCI
- 113.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Journal on Selected Areas in Communications (publishedVersion)
- Funders
- National Key Research and Development Program of China (2020YFC2006600)
- Key Project of Basic Science Research in Colleges and Universities of Jiangsu Province (22KJA120002)
- Basic Research Project of Universities in Jiangsu Province (23KJD520014)
- Unveiling and Leading Project of XZHMU (JBGS202204)
- Xuzhou Science and Technology Program (KC22298)
- Serving the “343” Industrial Development Project for Universities in Xuzhou (gx2024017)
- Topics
- Social Sciences › Sociology and Political Science › Access Control and Trust
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Physical Sciences › Computer Science › Computer Networks and Communications › Cybersecurity and Information Systems
- Keywords
- zero-trust architecture, privacy risk assessment, risk classification, wireless body area networks, wireless communication security, analytic hierarchy process
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