Preserving prosumer privacy in a district level smart grid

Yuce, Baris ORCID: https://orcid.org/0000-0002-9937-1535, Mourshed, Monjur ORCID: https://orcid.org/0000-0001-8347-1366, Rana, Omer Farooq ORCID: https://orcid.org/0000-0003-3597-2646 and Rezgui, Yacine ORCID: https://orcid.org/0000-0002-5711-8400 2016. Preserving prosumer privacy in a district level smart grid. Presented at: 2016 IEEE International Smart Cities Conference (ISC2), Trento, Italy, 12-15 September 2016. Smart Cities Conference (ISC2), 2016 IEEE International. IEEE, -. 10.1109/ISC2.2016.7580829

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Abstract

This study presents the anonymization of consumer data in a district-level smart grid using the k-anonymity approach. The data utilized in this study covers the demographic information and associated energy consumption of consumers. The anonymization process is implemented at the prosumer level, considering their importance in sharing flexibility and distributed generation at the low voltage grid, and the fact that they need to interact with each other and the grid while keeping their data private. The proposed approach is tested under three anonymization scenarios: prosecutor, journalist, and marketer. The smart grid data are investigated mostly under the prosecutor scenario with three risk levels: lowest, medium and highest. The results of the k-anonymity approach are compared to k-map and k-map + k-anonymity. No difference has been found between the three investigated approaches for the selected data set. Since, the aim of the k-anonymity is to not transform the information about any individual record among those k-1 individuals, the recorded type and the number of attributes play a key role in the anonymization process. One of the risks is the using continuous attributes in the anonymization process which may cause the information lose in the anonymization process such as near real-time energy consumptions. Hence we have focused on to anonymization of the consumers' demographic information, rather than their energy consumption.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics Engineering
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords:	Anonymization; k-anonymity; Smart grid, District electricity; Low-voltage grid
Publisher:	IEEE
ISBN:	9781509018475
Date of First Compliant Deposit:	19 August 2016
Date of Acceptance:	23 June 2016
Last Modified:	19 Nov 2022 08:57
URI:	https://orca.cardiff.ac.uk/id/eprint/93422

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