Smart grid data anonymization for smart grid privacy

Hoque, Shahidul and Rahim, Aneel and Di Cerbo, Francesco (2014) Smart grid data anonymization for smart grid privacy. Communications in Computer and Information Science, 470. pp. 89-96. ISSN 1865-0929

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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.

Item Type:	Article
Additional Information:	Funding Information: 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. Publisher Copyright: © Springer International Publishing Switzerland 2014.
Uncontrolled Keywords:	/dk/atira/pure/subjectarea/asjc/1700
Departments or Groups:
Depositing User:	Admin SSL
Date Deposited:	19 Oct 2022 23:06
Last Modified:	07 Jun 2023 18:43
URI:	http://repository-testing.wit.ie/id/eprint/4040

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