SMART-5G: Secure Multichannel Automated operRations Through 5G Networks

SMART-5G项目或通过5G网络的安全多通道自动化操作的目标是开发一套技术、工具和操作原则，使军用通信能够在民用5G基础设施上安全运行。我们将采用多访问边缘计算机（MEC）的功能来进行安全通信。通过利用部署在5G网络基础设施内的军方提供的服务器以及战术边缘和后端基础设施中的服务器，我们展示了如何通过各种技术获得更安全的操作环境，包括：人工智能在网络流量检测中的应用，策略驱动的低带宽安全通信路径和高带宽不安全通信路径的流量分离，利用移动边缘计算机制的虚拟多功能认证，自动化操作安全策略的自生成。为了支持作为融合研究项目一部分开发的场景，该团队将开发一套技术，使军事人员能够在不安全的5G网络上操作而不影响安全要求，并将这些技术分为三个不同但相互关联的重点：多渠道利用、网络态势感知和安全工作流程自动化。多通道利用包括使用具有不同性能和安全属性的多个通道，为关键任务应用程序提供所需的环境。网络态势感知通过对5G网络中的流量和活动进行监控和分析，为用户提供信息；而且，安全工作流的自动化使用安全协议的自动化来提高对威胁的响应能力。这一多学科的努力汇集了计算机科学、机器学习、网络运营和管理以及社会科学等研究领域。将确定可以通过社会工程发起的潜在威胁，并提出检测和减轻威胁的对策。

The objective of the SMART-5G project or Secure Multichannel Automated opeRations Through 5G Networks, is to develop a suite of technologies, tools and operational principles which will allow for the secure operation of military communications on civilian 5G infrastructure. We will employ the capabilities of Multi-access Edge Computers or MEC, for secure communication. By leveraging military-provided servers that are deployed within the 5G network infrastructure plus servers at the tactical edge and in the backend infrastructure, we show how a more secure operational environment can be obtained with a variety of techniques including: application of AI to network traffic inspection, policy-driven separation of traffic along a low-bandwidth secure communication path and a high-bandwidth insecure communication path, virtual multi-function authentication leveraging mobile edge computing mechanisms, and self-generation of security policies for automated operations. To support the scenarios to be developed as part of the convergence research project, the team will develop a suite of technologies to enable military personnel to operate through the insecure 5G network without compromising security requirements, and group these technologies into three different, but inter-related thrusts: multi-channel exploitation, network situation awareness, and automation of security workflows. Multi-channel exploitation includes the use of multiple channels with different performance and security properties to provide the required environment for mission-critical applications. Network situation awareness provides information to users through monitoring and analysis of the traffic and activities in the 5G network; and, automation of security workflows use automation of security protocols to improve responsiveness to threats. This multidisciplinary effort brings together research fields such as computer science, machine learning, network operations and management, and social science. Potential threats that can be launched through social engineering will be identified, and countermeasures proposed for detection and mitigation.