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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References
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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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