Programmable Adaptive Security Scanning for Networked Microgrids
Programmable Adaptive Security Scanning for Networked Microgrids
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DOI：
10.1016/j.eng.2021.06.007
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发表时间：
2021-06
期刊：
影响因子：
12.8
通讯作者：
Zimin Jiang;Zefan Tang;Peng Zhang;Yanyuan Qin
中科院分区：
文献类型：
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作者：
Zimin Jiang;Zefan Tang;Peng Zhang;Yanyuan Qin
依赖通信和基于软件的分布式能源（DERs）被广泛集成到现代微电网中，提供了广泛的好处，如增加分布式可控性、可扩展性和可观察性。然而，恶意的网络攻击者可以利用各种潜在的漏洞。在这项研究中，提出了一种可编程自适应安全扫描（PASS）方法来保护DER逆变器免受各种power-bot攻击。具体来说，考虑了三种不同类型的攻击，即控制器操作、重放和注入攻击。该方法采用软件定义网络技术和一种新颖的协调检测方法，能够以超弹性、节省时间和自主的方式实现可编程和可扩展的网络微电网（NMs）。这种协同检测方法在不影响网络管理正常运行的情况下，有效地识别了动力机器人攻击的位置和类型。大量的仿真结果验证了该方法对网络安全的有效性和实用性。
Communication-dependent and software-based distributed energy resources (DERs) are extensively integrated into modern microgrids, providing extensive benefits such as increased distributed controllability, scalability, and observability. However, malicious cyber-attackers can exploit various potential vulnerabilities. In this study, a programmable adaptive security scanning (PASS) approach is presented to protect DER inverters against various power-bot attacks. Specifically, three different types of attacks, namely controller manipulation, replay, and injection attacks, are considered. This approach employs both software-defined networking technique and a novel coordinated detection method capable of enabling programmable and scalable networked microgrids (NMs) in an ultra-resilient, time-saving, and autonomous manner. The coordinated detection method efficiently identifies the location and type of power-bot attacks without disrupting normal NM operations. Extensive simulation results validate the efficacy and practicality of the PASS for securing NMs.