Next Article in Journal
A Novel Bio-Inspired Optimization Algorithm Based on Mantis Shrimp Survival Tactics
Previous Article in Journal
Distributed Power Sharing Control Strategy for Interconnected AC and DC Microgrids Based on Event-Triggered Control Under Denial-of-Service Attack
Previous Article in Special Issue
Zero Trust Strategies for Cyber-Physical Systems in 6G Networks
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Adaptive Zero Trust Policy Management Framework in 5G Networks

by
Abdulrahman K. Alnaim
Department of Management Information Systems, School of Business, King Faisal University, Hofuf 31982, Saudi Arabia
Mathematics 2025, 13(9), 1501; https://doi.org/10.3390/math13091501
Submission received: 30 March 2025 / Revised: 29 April 2025 / Accepted: 30 April 2025 / Published: 1 May 2025
(This article belongs to the Special Issue Application of Artificial Intelligence in Decision Making)

Abstract

The rapid evolution and deployment of 5G networks have introduced complex security challenges due to their reliance on dynamic network slicing, ultra-low latency communication, decentralized architectures, and highly diverse use cases. Traditional perimeter-based security models are no longer sufficient in these highly fluid and distributed environments. In response to these limitations, this study introduces SecureChain-ZT, a novel Adaptive Zero Trust Policy Framework (AZTPF) that addresses emerging threats by integrating intelligent access control, real-time monitoring, and decentralized authentication mechanisms. SecureChain-ZT advances conventional Zero Trust Architecture (ZTA) by leveraging machine learning, reinforcement learning, and blockchain technologies to achieve autonomous policy enforcement and threat mitigation. Unlike static ZT models that depend on predefined rule sets, AZTPF continuously evaluates user and device behavior in real time, detects anomalies through AI-powered traffic analysis, and dynamically updates access policies based on contextual risk assessments. Comprehensive simulations and experiments demonstrate the robustness of the framework. SecureChain-ZT achieves an authentication accuracy of 97.8% and reduces unauthorized access attempts from 17.5% to just 2.2%. Its advanced detection capabilities achieve a threat detection accuracy of 99.3% and block 95.6% of attempted cyber intrusions. The implementation of blockchain-based identity verification reduces spoofing incidents by 97%, while microsegmentation limits lateral movement attacks by 75%. The proposed SecureChain-ZT model achieved an authentication accuracy of 98.6%, reduced false acceptance and rejection rates to 1.2% and 0.2% respectively, and improved policy update time to 180 ms. Compared to traditional models, the overall latency was reduced by 62.6%, and threat detection accuracy increased to 99.3%. These results highlight the model’s effectiveness in both cybersecurity enhancement and real-time service responsiveness. This research contributes to the advancement of Zero Trust security models by presenting a scalable, resilient, and adaptive policy enforcement framework that aligns with the demands of next-generation 5G infrastructures. The proposed SecureChain-ZT model not only enhances cybersecurity but also ensures service reliability and responsiveness in complex and mission-critical environments.
Keywords: zero trust; 5G networks; network security; cloud computing; blockchain zero trust; 5G networks; network security; cloud computing; blockchain

Share and Cite

MDPI and ACS Style

Alnaim, A.K. Adaptive Zero Trust Policy Management Framework in 5G Networks. Mathematics 2025, 13, 1501. https://doi.org/10.3390/math13091501

AMA Style

Alnaim AK. Adaptive Zero Trust Policy Management Framework in 5G Networks. Mathematics. 2025; 13(9):1501. https://doi.org/10.3390/math13091501

Chicago/Turabian Style

Alnaim, Abdulrahman K. 2025. "Adaptive Zero Trust Policy Management Framework in 5G Networks" Mathematics 13, no. 9: 1501. https://doi.org/10.3390/math13091501

APA Style

Alnaim, A. K. (2025). Adaptive Zero Trust Policy Management Framework in 5G Networks. Mathematics, 13(9), 1501. https://doi.org/10.3390/math13091501

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop