Abstract
We present an approach to adopt the DB Anonymizer (Database Anonymizer) GE (Generic Enabler) in the context of a case study relating to a Smart Grid Charging Optimization System (COS) that has been developed using real time Electric Vehicle (EV) and Wind energy data. The paper takes consideration of DB Anonymizer GE software for data anonymization with Smart Grid data use case and without Smart Grid data. In addition, the implementation of EV data anonymization and robustness of its anonymization strategy set is evaluated and described in the paper, along with the lessons learned and the potential for future improvements to the data anonymization strategy determination. The novelty of the mechanism itself stems from the effective evaluation of the GE for Smart Grid environment and hence, enhances the privacy preservation capabilities of the Charging Optimization System.
The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/FI-PPP Phase 2) under named on FINESCE & FI-WARE.
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Directive 95/46/EC of the European Parliament and of the Council of 24 October 1995 on the protection of individuals with regard to the processing of personal data and on the free movement of such data. http://eur-lex.europa.eu/legal-content/en/ALL/?uri=CELEX:31995L0046. Accessed 14th May 2014
Progress on EU data protection reform now irreversible following European Parliament vote - MEMO/14/186 12/03/2014. http://europa.eu/rapid/press-release_MEMO-14-186_en.htm. Accessed 14th May 2014
Trabelsi, S., Salzgeber, V., Bezzi, M., Montagnon, G.: Data disclosure risk evaluation. In: 2009 Fourth International Conference on Risks and Security of Internet and Systems (CRiSIS), pp. 35–72, 19–22 Oct 2009. doi:10.1109/CRISIS.2009.5411979
Bezzi, M.: An entropy-based method for measuring anonymity. In: IEEE/CreateNet SECOVAL Workshop on the Value of Security Through Collaboration, September 2007
Directive 2009/72/EC of the European Parliament and of the Council of 13th July 2009 concerning common rules for the internal market in electricity and repealing Directive 2003/54/EC. http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2009:211:0055:0093:EN:PDF. Accessed 14th May 2014
The source code of DB Anonymizer. https://github.com/fi-ware-security-sap/fiware-dba
A more detailed description of FI-LAB. http://www.fi-ware.org/lab/
Siddiqui, F., Zeadally, S., Alcaraz, C., Galvao, S.: Smart grid privacy: issues and solutions. In: 2012 21st International Conference on Computer Communications and Networks (ICCCN), pp. 1–5 (2012). doi:10.1109/ICCCN.2012.6289304
Skopik, F.: Security is not enough! On privacy challenges in smart grids. Int. J. Smart Grid Clean Energy 1, 7–14 (2012). doi:10.12720/sgce.1.1.7-14
Jawurek, M., Kerschbaum, F., Danezis, G.: SoK: Privacy Technologies for Smart Grids – A Survey of Options (n.d.)
Kursawe, K., Danezis, G., Kohlweiss, M.: Privacy-friendly Aggregation for the Smart-grid (n.d.)
Rottondi, C., Mauri, G., Verticale, G., Milano, P., Leonardo, P.: A Data Pseudonymization Protocol for Smart Grids (n.d.)
Efthymiou, C., Kalogridis, G.: Smart grid privacy via anonymization of smart metering data. In: First IEEE International Conference on Smart Grid Communications, pp. 238–243 (2010). doi:10.1109/SMARTGRID.2010.5622050
Machanavajjhala, A., Gehrke, J., Kifer, D., Venkitasubramaniam, M.: l-diversity: privacy beyond kanonymity. In: Proceedings of 22nd International Conference of Data Engineering. (ICDE), 3–8 April 2006, Atlanta, GA, USA, p. 24 (2006)
See for example. http://finesce.eu/global/images/cms/Results/D7.2_FINESCE_Consolidated_Trial_Description.pdf
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Hoque, S., Rahim, A., Di Cerbo, F. (2014). Smart Grid Data Anonymization for Smart Grid Privacy. In: Cleary, F., Felici, M. (eds) Cyber Security and Privacy. CSP 2014. Communications in Computer and Information Science, vol 470. Springer, Cham. https://doi.org/10.1007/978-3-319-12574-9_8
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DOI: https://doi.org/10.1007/978-3-319-12574-9_8
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