DocumentCode :
1796450
Title :
A framework for privacy-preserving data sharing in the Smart Grid
Author :
Alharbi, Khalid ; Xiaodong Lin ; Jun Shao
Author_Institution :
Fac. of Bus. & Inf. Technol., Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada
fYear :
2014
fDate :
13-15 Oct. 2014
Firstpage :
214
Lastpage :
219
Abstract :
Distributed energy resources, featured with small-scale power generation technologies and renewable energy sources, have been considered as a necessary supplement for the smart grid. In order to make the merged power grid to be still smart, the data generated at the consumer side should be shared among the energy resources. However, this approach brings difficulties on how to protect consumers´ privacy. To deal with the problem, in this paper, we propose a new framework for data sharing in the smart grid by using a combination of homomorphic encryption and proxy re-encryption techniques. The proposed framework allows the energy resources to be able to analyze the consumers´ data while keeping the consumers´ privacy. Another good property of our proposed framework is that the consumers´ data is transmitted over the smart grid only once. To the best of our knowledge, our framework is first attempt to consider an important problem concerning data sharing in the smart grid.
Keywords :
cryptography; data privacy; electric power generation; power system analysis computing; power system security; renewable energy sources; smart power grids; distributed energy resources; homomorphic encryption technique; power grid; privacy-preserving data sharing; proxy reencryption technique; renewable energy sources; small-scale power generation technologies; smart grid; Electricity; Encryption; Energy resources; Public key; Servers; Smart grids;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications in China (ICCC), 2014 IEEE/CIC International Conference on
Conference_Location :
Shanghai
Type :
conf
DOI :
10.1109/ICCChina.2014.7008274
Filename :
7008274
Link To Document :
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