There is a pressing need to interconnect physical systems such as power grid and vehicles for efficient management and safe operations. Due to the diverse features of physical systems, there is hardly a one-size-fits-all networking solution for developing cyber-physical systems. Network slicing is a promising technology that allows network operators to create multiple virtual networks on top of a shared network infrastructure. These virtual networks can be tailored to meet the requirements of different cyber-physical systems. However, it is challenging to design secure network slicing solutions that can efficiently create end-to-end network slices for diverse cyber-physical systems. In this article, we discuss the challenges and security issues of network slicing, study learning-assisted network slicing solutions, and analyze their performance under the denial-of-service attack. We also present a design and implementation of a small-scale testbed for evaluating the network slicing solutions.

中文翻译：

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网络物理系统的学习辅助安全端到端网络切片


迫切需要将电网、车辆等物理系统互连起来，以实现高效管理和安全运行。由于物理系统的多样性，几乎没有一种通用的网络解决方案来开发信息物理系统。网络切片是一项很有前途的技术，它允许网络运营商在共享网络基础设施之上创建多个虚拟网络。这些虚拟网络可以定制以满足不同网络物理系统的要求。然而，设计能够为不同的网络物理系统高效创建端到端网络切片的安全网络切片解决方案具有挑战性。在本文中，我们讨论了网络切片的挑战和安全问题，研究了学习辅助的网络切片解决方案，并分析了其在拒绝服务攻击下的性能。我们还提出了用于评估网络切片解决方案的小型测试台的设计和实现。