在区块链启用的6G网络中,一个新的基于融合的多重角色评估和信任管理框架
1School of Electronic and Information Engineering, Soochow University, Suzhou 215301, China.
Sensors (Basel, Switzerland)
|August 12, 2023
概括
本研究引入了一个新的信任评估框架,用于安全的第六代 (6G) 网络. 多重角色融合方法通过改进信任预测和异常检测来增强网络安全和协作.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 电信工程 电信工程 电信工程
背景情况:
- 由于设备密度和复杂性增加,六代 (6G) 网络面临安全挑战.
- 安全的沟通和协作在很大程度上依赖于强大的信任评估机制.
- 现有的信任模型可能无法充分解决6G环境的独特漏洞.
研究的目的:
- 为6G网络提出一个新的多角色融合信任评估框架.
- 提高6G通信系统的安全性和可靠性.
- 提高信任预测和异常检测能力.
主要方法:
- 多重角色融合信任计算与基于区块链的信任管理的整合.
- 利用神经网络配合方法用于融合信任值预测.
- 为6G应用优化传统的信任管理框架.
主要成果:
- 拟议的多角色融合方法在与单个角色评估相比,显示出更高的稳定性.
- 在6G网络环境中提高异常检测性能.
- 改善了节点信任的整体评估准确性.
结论:
- 多重角色融合信任评估框架为6G网络提供了更安全,更稳定的解决方案.
- 区块链集成为分散的6G系统中的信任管理提供了坚实的基础.
- 优化的模型通过准确的信任预测显著提高了通信系统的安全性.
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