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DLSMR:基于深度学习的安全多播路由协议,用于防止虫洞攻击,用于无细胞大规模多输入多输出飞行特设网络.
Yushintia Pramitarini1, Ridho Hendra Yoga Perdana1, Kyusung Shim2
1Departement of Software and Communications Engineering in Graduate School, Hongik University, Sejong City 30016, Republic of Korea.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
本研究介绍了一种深度学习安全的多播路由协议 (DLSMR),用于使用无细胞大规模MIMO的飞行特设网络 (FANET). 该协议有效地避免了虫洞攻击,并增强了网络连接和稳定性.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 网络安全 网络安全
背景情况:
- 未来的网络需要强大的解决方案来管理各种节点,特别是在空中环境中.
- 无细胞大规模多输入多输出 (CF-mMIMO) 为增强网络容量和覆盖范围提供了一个有前途的范式.
- 安全和服务质量 (QoS) 是下一代通信网络的关键参数.
研究的目的:
- 为与CF-mMIMO集成的飞行特设网络 (FANET) 提出一种基于深度学习的新型安全多播路由协议 (DLSMR).
- 在FANET中的多播路由过程中解决和减轻虫洞攻击.
- 为了提高网络安全,可扩展性和稳定性在空中通信环境.
主要方法:
- 在DLSMR协议中开发了一个深度学习 (DL) 模型,根据节点ID,距离,目的地序列,跳数和能量来预测安全路线.
- 提出了一种自上而下的基于粒子群集优化的聚类 (TD-PSO) 协议,以优化节点连接和管理多播成员.
- 使用性能指标评估DLSMR和TD-PSO协议,包括数据包交付比率,路由延迟,控制开销和数据包丢失比率.
主要成果:
- DLSMR协议成功建立了高稳定的多播树,并通过准确预测安全路线,提高了对虫洞攻击的安全性.
- TD-PSO协议增强了节点连接,并确保了全球最佳的融合,加强了整体网络结构.
- 性能评估证实了拟议协议在提供安全路由,避免虫洞攻击和确保强大的连接方面的有效性.
结论:
- 在CF-mMIMO启用的FANET中,DLSMR协议在保护多播路由方面取得了重大进展,可以防止像虫洞这样的复杂攻击.
- 整合TD-PSO集群进一步通过提高连接性和稳定性来提高网络性能.
- 这项研究强调了深度学习和先进的优化技术在解决未来空中网络的复杂挑战方面的关键作用.


