电网网络物理安全实时试验台环境研究

Georgia Koutsandria, R. Gentz, Mahdi Jamei, A. Scaglione, S. Peisert, C. McParland
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引用次数: 35

摘要

网络物理系统(如电网)的可靠性和安全性对于确保其安全运行、性能和经济效益至关重要。许多网络物理安全技术的目标,如针对cps的网络入侵检测系统(nids),是确保即使在暴露的网络环境中也能持续可靠地运行。但是,这些方法的验证远远超出了标准的网络分析,因为有意义的测试还必须集成对物理系统行为和对网络活动的响应的现实理解。我们在本文中的目标是展示一个可以支持这种验证的测试平台环境的示例。其中,真实的网络流量,仿真和工业控制网络,与仿真物理模型实时交互,扩展和利用“硬件在环”和“网络在环”功能。该测试平台是理论与实践之间的桥梁,提供了许多功能,包括网络通信、数据管理以及由NIDS执行的网络物理状态分析的虚拟化。流量被真实的网络水龙头捕获并转发到真实的数据管理环境,同时接收来自模拟工业控制环境的数据报告。为了说明我们的测试平台的功能,我们展示了如何通过“物理感知”NIDS交叉检查数据,识别不符合其网络物理安全规则的网络流量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Real-Time Testbed Environment for Cyber-Physical Security on the Power Grid
The trustworthiness and security of cyber-physical systems (CPSs), such as the power grid, are of paramount importance to ensure their safe operation, performance, and economic efficiency. The aim of many cyber-physical security techniques, such as network intrusion detection systems (NIDSs) for CPSs, is to ensure continuous reliable operation even in exposed network environments. But the validation of such methods goes well beyond standard network analysis, since meaningful tests must also integrate realistic understanding of the physical systems behavior and response to the network activity. Our goal in this paper is to showcase an example of a testbed environment that can support such validation. In it, real network traffic, emulating and industrial control network, interacts with simulated physical models in real-time, extending and leveraging "hardware-in-the-loop" and "cyber-in-the-loop" capabilities. The testbed is a bridge between theory and practice and offers a number of features, including network communications, data management, as well as the virtualization of cyber-physical state analytics performed by the NIDS. The traffic is captured by real network taps and is forwarded to a real data management environment, receiving also the data reports from the simulated industrial control environment. To illustrate the capabilities of our testbed we show how the data are cross-checked by a "physics aware" NIDS, identifying network traffic that does not comply with its cyber-physical security rules.
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