5G/6G网络切片的跨层安全:一个基于SDN,NFV和AI的混合框架
Zeina Allaw1, Ola Zein1, Abdel-Mehsen Ahmad1
1School of Engineering, Lebanese International University, Al Khiyara, West Bekaa 1803, Lebanon.
Sensors (Basel, Switzerland)
|September 19, 2025
概括
本研究介绍了5G和6G网络的混合安全框架,将软件定义网络 (SDN) 和网络功能虚拟化 (NFV) 与AI异常检测相结合,以增强网络切片安全性.
科学领域:
- 电信工程 电信工程 电信工程
- 网络安全 网络安全
- 人工智能的人工智能
背景情况:
- 第五代 (5G) 和第六代 (6G) 网络使用网络切片来灵活分配资源.
- 传统的安全措施不足以应对切片网络的动态和复杂性质.
- 新兴的网络架构带来了新的安全漏洞.
研究的目的:
- 建议和评估混合安全框架,用于在5G/6G环境中保护网络片段.
- 利用软件定义网络 (SDN) 和网络功能虚拟化 (NFV) 与人工智能的跨层集成.
- 加强网络切片的完整性和机密性,以应对不断变化的威胁.
主要方法:
- 开发了一个混合安全框架,集成SDN,NFV和AI驱动的异常检测.
- 使用5G安全数据集实现并测试基于AI的异常检测组件.
- 专注于跨层安全整合,以全面缓解威胁.
主要成果:
- 人工智能驱动的异常检测在识别威胁方面表现出有希望的准确性.
- 该框架显示了对检测到的安全事件的实时响应能力.
- 最初的实施证实了基于AI的安全在切片网络中的可行性.
结论:
- 拟议的混合安全框架为网络安全提供了可扩展和智能化的方法.
- 跨层集成对于应对动态5G/6G环境中的安全挑战至关重要.
- 建议进一步开发完整的SDN/NFV集成,以实现强大的下一代网络防御.
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