Abstract
The smart grid poses great concern about the exposure of consumers' privacy as the fine-grained measurements in the smart metering system can expose consumer's privacy through the disclosure of accurate load profiles of home energy usage. To address this issue, in this paper we propose novel scaling perturbation based privacy-preserving schemes that can achieve great utility for fine-grained measurements in a privacy-friendly and cost-effective manner. Our schemes adopt the measurement-based scaling perturbation to hide original measurements with low cost. Through a combination of both extensive theoretical analysis and experiments, our results show that the proposed schemes can preserve consumers' privacy through fine-grained measurements and achieve a better utility-privacy tradeoff in comparison with the existing schemes.
| Original language | English |
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| Title of host publication | 22nd International Conference on Computer Communications and Networks, ICCCN 2013 - Conference Proceedings |
| DOIs | |
| State | Published - 2013 |
| Event | 2013 IEEE 2013 22nd International Conference on Computer Communication and Networks, ICCCN 2013 - Nassau, Bahamas Duration: 30 Jul 2013 → 2 Aug 2013 |
Publication series
| Name | Proceedings - International Conference on Computer Communications and Networks, ICCCN |
|---|---|
| ISSN (Print) | 1095-2055 |
Conference
| Conference | 2013 IEEE 2013 22nd International Conference on Computer Communication and Networks, ICCCN 2013 |
|---|---|
| Country/Territory | Bahamas |
| City | Nassau |
| Period | 30/07/13 → 2/08/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- privacy-preserving
- scaling perturbation
- smart grid
- smart metering systems
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