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e+i Elektrotechnik und Informationstechnik

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03-02-2017 | Originalarbeiten

Tool support for data protection impact assessment in the smart grid

Authors: Ewa Piatkowska, Agron Bajraktari, Dharini Chhajed, Paul Smith

Published in: e+i Elektrotechnik und Informationstechnik | Issue 1/2017

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Abstract

The smart grid promises to enable novel energy services, supporting a greater integration of renewable energy sources. Major issues in this context are data protection and privacy risks, wherein malicious actors or organizations misuse personal data that is collected, processed and stored to enable these services. To address this problem, the European Commission has proposed a risk-driven process to data protection impact assessment. In this article, we introduce this process and present a tool that can support its implementation.

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The Article 29 Working Party consists of a representative from the data protection authority of each EU Member State, the European Data Protection Supervisor, and the European Commission.

In discussions with sources involved in the development of the DPIA template, we have learned the overall structure of the process will remain the same in the final version. However, some details about how individual steps should be implemented will change.

Django is a Python framework that supports the rapid development of web-based applications: https://www.djangoproject.com/.

The Nobel Grid Project: http://nobelgrid.eu/.

Article 29: Data protection working party (2011): Opinion 9/2011 on the revised industry proposal for a privacy and data protection impact assessment framework for RFID applications. http://ec.europa.eu/justice/data-protection/article-29/documentation/opinion-recommendation/files/2011/wp180_en.pdf.

European Commission Commission Privacy and data protection impact assessment framework for RFID applications (2011): http://cordis.europa.eu/fp7/ict/enet/documents/rfid-pia-framework-final.pdf.

Information Commissioner’s Office (2009): Privacy impact assessment handbook. Version 2(0). Wilmslow: ICO.

Information Commissioner’s Office (2014): Conducting privacy impact assessments, code of practice. Wilmslow: ICO. https://ico.org.uk/media/for-organisations/documents/1595/pia-code-of-practice.pdf.

Kloza, D., Dijk, N. V., Hert, P. D. (2015): Assessing the European approach to privacy and data protection in smart grids: lessons for emerging technologies (pp. 11–47). Waltham: Elsevier (Syngress).

Smart Grid Task Force 2012–14 Expert Group 2 (2014): Data protection impact assessment template for smart grid and smart metering systems. https://ec.europa.eu/energy/sites/ener/files/documents/DPIA%20template_incl%20line%20numbers.pdf.

Wright, D. (2012): The state of the art in privacy impact assessment. Comput. Law Secur. Rev., 28(1), 54–61. CrossRef

Title: Tool support for data protection impact assessment in the smart grid
Authors: Ewa Piatkowska
Agron Bajraktari
Dharini Chhajed
Paul Smith
Publication date: 03-02-2017
Publisher: Springer Vienna
Published in: e+i Elektrotechnik und Informationstechnik / Issue 1/2017
Print ISSN: 0932-383X
Electronic ISSN: 1613-7620
DOI: https://doi.org/10.1007/s00502-017-0484-4

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