未来5G无线基础设施的AI支持的网络安全框架
Asad Alam1, Asif Umer2, Insaf Ullah3
1Faculty of Technology, University of Portsmouth, Portsmouth, UK.
Scientific reports
|February 2, 2026
概括
本研究介绍了第五代 (5G) 网络的多层次网络安全框架,通过人工智能驱动的威胁检测和主动措施来提高安全性. 该框架实现了高威胁检测率并保持了性能,保护5G基础设施免受不断变化的网络威胁.
科学领域:
- 网络安全 网络安全
- 网络工程 网络工程
- 计算机科学 计算机科学
背景情况:
- 第五代 (5G) 无线网络提供了增强的连接性,但由于网络切片,边缘计算和物联网集成等技术,引入了重大网络安全漏洞.
- 现有的安全模型往往是反应性的,无法充分解决复杂的5G基础设施的扩展攻击面.
研究的目的:
- 为5G基础设施设计了一个全面的,多层次的网络安全框架,并进行评估.
- 在5G环境中实施安全设计原则,以积极缓解5G威胁.
主要方法:
- 开发一个多层框架,包括设备级信任验证,安全网络切片,动态政策执行和人工智能驱动的威胁检测.
- 通过广泛的模拟和对比NIST零信任架构和3GPPTS 33.501标准进行评估.
主要成果:
- 在高负载和敌对条件下实现了高达97.6%的威胁检测率,具有低延迟性能.
- 在模拟的5G环境中证明了可扩展的操作,支持大规模设备连接.
结论:
- 拟议的框架为5G网络提供了有效的端到端保护,优于传统的反应性安全模型.
- 未来的研究应该专注于量子弹性加密和AI增强的6G网络的自我修复机制.
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