A Method to Detect Man in the Middle Attack (MiTM) on a Grid Following PV Inverter

IF 1 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Compel-The International Journal for Computation and Mathematics in Electrical and Electronic Engineering Pub Date : 2023-06-25 DOI:10.1109/COMPEL52896.2023.10221187
Faris Alotaibi, Hasan Ibrahim, Jaewon Kim, P. Enjeti
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Abstract

In this paper, a method to detect a man-in-the-middle attack (MiTM) on a grid following PV inverter is discussed. The control objective of the grid following inverter is to utilize the measurement data from the smart meter to supply the maximum available solar power at any given point to a residential load, while simultaneously preventing any reverse power flow to the grid. Now, a false data injection (FDI) attack is envisioned on the smart meter data (P and Q) communicated to the inverter by malicious actors. In such cases, the FDI can result in the inverter producing more power than the feeder load demand, resulting in reverse power flow into the grid, causing the system to disconnect. The proposed method superimposes a small randomly varying voltage with a unique signature termed as “watermark” into the input inverter DC link voltage and then checks the measurement data returned from the smart meter to contain the appropriate transformation of the secret watermark to detect any possible acts of FDI. A unique characteristic of our method is its ability to inject the watermark signal into the DC link, which is external to the PV inverter. This broadens its applicability to any commercial inverter setup. Communication protocols such as Modbus that could serve as attack points are reviewed. A Hardware-in-the-Loop (HIL) implementation reveals that the method effectively identifies FDI and unobservable FDI such as replay attacks. An experimental 3.5kW PV inverter is currently under test, with outcomes to be disclosed at a subsequent stage.
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一种检测光伏逆变器后电网中人攻击(MiTM)的方法
本文讨论了一种检测光伏逆变器后电网中人中间攻击(MiTM)的方法。电网跟随逆变器的控制目标是利用智能电表的测量数据在任何给定点向住宅负荷提供最大可用太阳能,同时防止任何反向潮流进入电网。现在,对恶意行为者传达给逆变器的智能电表数据(P和Q)进行虚假数据注入(FDI)攻击。在这种情况下,FDI可能导致逆变器产生比馈线负载需求更多的功率,导致反向功率流入电网,导致系统断开。该方法在输入逆变器直流链路电压中叠加一个具有唯一签名的随机变化的小电压,称为“水印”,然后检查从智能电表返回的测量数据,以包含适当的秘密水印变换,以检测任何可能的FDI行为。该方法的一个独特之处在于能够将水印信号注入到光伏逆变器外部的直流链路中。这扩大了其适用于任何商用逆变器设置。通讯协议,如Modbus可以作为攻击点进行审查。硬件在环(HIL)的实现表明,该方法有效地识别FDI和不可观察的FDI,如重放攻击。一款实验性的3.5kW光伏逆变器目前正在测试中,测试结果将在后续阶段公布。
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来源期刊
CiteScore
1.60
自引率
0.00%
发文量
124
审稿时长
4.2 months
期刊介绍: COMPEL exists for the discussion and dissemination of computational and analytical methods in electrical and electronic engineering. The main emphasis of papers should be on methods and new techniques, or the application of existing techniques in a novel way. Whilst papers with immediate application to particular engineering problems are welcome, so too are papers that form a basis for further development in the area of study. A double-blind review process ensures the content''s validity and relevance.
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