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Towards a Holistic Privacy Engineering Approach for Smart Grid Systems

机译:迈向智能电网系统的整体隐私工程方法

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Protecting energy consumers's data and privacy is a key factor for the further adoption and diffusion of smart grid technologies and applications. However, current smart grid initiatives and implementations around the globe tend to either focus on the need for technical security to the detriment of privacy or consider privacy as a feature to add after system design. This paper aims to contribute towards filling the gap between this fact and the accepted wisdom that privacy concerns should be addressed as early as possible (preferably when modeling system's requirements). We present a methodological framework for tackling privacy concerns throughout all phases of the smart grid system development process. We describe methods and guiding principles to help smart grid engineers to elicit and analyze privacy threats and requirements from the outset of the system development, and derive the best suitable countermeasures, i.e. privacy enhancing technologies (PETs), accordingly. The paper also provides a summary of modern PETs, and discusses their context of use and contributions with respect to the underlying privacy engineering challenges and the smart grid setting being considered.
机译:保护能源消费者的数据和隐私是进一步采用和推广智能电网技术和应用程序的关键因素。但是,当前全球范围内的智能电网计划和实施都倾向于将重点放在对技术安全的需求上,以损害隐私,或者将隐私视为在系统设计之后要添加的功能。本文旨在帮助填补这一事实与公认的观点之间的差距,即应该尽早解决隐私问题(最好是在对系统的要求进行建模时)。我们提出了一种方法框架,用于解决智​​能电网系统开发过程中所有阶段的隐私问题。我们描述了一些方法和指导原则,以帮助智能电网工程师从系统开发之初就得出并分析隐私威胁和要求,并据此得出最合适的对策,即隐私增强技术(PET)。本文还提供了现代PET的摘要,并讨论了其在潜在的隐私工程挑战和正在考虑的智能电网设置方面的使用和贡献背景。

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