论文标题
5G网络的无人用辅助攻击预防,检测和恢复
UAV-Assisted Attack Prevention, Detection, and Recovery of 5G Networks
论文作者
论文摘要
无人驾驶飞机(UAV)正在成为支持许多应用程序和服务的推动者,例如精密农业,搜索和救援,临时网络部署或覆盖范围扩展以及安全性。将无人机视为空中用户或网络支持节点,以集成到新兴的5G网络中。我们建议利用5G中的无人机来帮助预防,检测和恢复5G网络的攻击。具体而言,我们考虑通过无人机的多功能性来堵塞,欺骗,窃听和相应的缓解机制。我们介绍了HOT区域,安全区和基于无人机的二级授权实体,以及提高5G无线电访问网络和服务的弹性和机密性。我们提出了仿真结果,并讨论了开放问题和研究方向,包括对实验评估的需求以及用于原型制作和测试所提出的技术的研究平台。
Unmanned aerial vehicles (UAVs) are emerging as enablers for supporting many applications and services, such as precision agriculture, search and rescue, temporary network deployment or coverage extension, and security. UAVs are being considered for integration into emerging 5G networks as aerial users or network support nodes. We propose to leverage UAVs in 5G to assist in the prevention, detection, and recovery of attacks on 5G networks. Specifically, we consider jamming, spoofing, eavesdropping and the corresponding mitigation mechanisms that are enabled by the versatility of UAVs. We introduce the hot zone, safe zone and UAV-based secondary authorization entity, among others, to increase the resilience and confidentiality of 5G radio access networks and services. We present simulation results and discuss open issues and research directions, including the need for experimental evaluation and a research platform for prototyping and testing the proposed technologies.