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Differential Privacy for Power Grid Obfuscation
IEEE Transactions on Smart Grid ( IF 8.6 ) Pub Date : 2019-08-21 , DOI: 10.1109/tsg.2019.2936712
Ferdinando Fioretto , Terrence W. K. Mak , Pascal Van Hentenryck

The availability of high-fidelity energy networks brings significant value to academic and commercial research. However, such releases also raise fundamental concerns related to privacy and security as they can reveal sensitive commercial information and expose system vulnerabilities. This paper investigates how to release the data for power networks where the parameters of transmission lines and transformers are obfuscated. It does so by using the framework of Differential Privacy (DP), that provides strong privacy guarantees and has attracted significant attention in recent years. Unfortunately, simple DP mechanisms often result in AC-infeasible networks. To address these concerns, this paper presents a novel differentially private mechanism that guarantees AC-feasibility and largely preserves the fidelity of the obfuscated power network. Experimental results also show that the obfuscation significantly reduces the potential damage of an attack carried by exploiting the released dataset.

中文翻译:

电网混淆的差分隐私

高保真能源网络的可用性为学术和商业研究带来了巨大的价值。但是,由于这些版本可以揭示敏感的商业信息并暴露系统漏洞,因此也引起了与隐私和安全性相关的基本问题。本文研究了如何发布传输线和变压器参数被混淆的电力网络数据。它通过使用差异隐私(DP)框架来实现,该框架提供了强大的隐私保证,并且近年来引起了广泛关注。不幸的是,简单的DP机制经常导致AC不可行的网络。为了解决这些问题,本文提出了一种新颖的差分专用机制,该机制可以保证交流的可行性,并在很大程度上保留经过混淆的电网的保真度。
更新日期:2020-04-22
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