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Journal article

Efficient and privacy-preserving data aggregation and dynamic billing in smart grid metering networks

Abstract:

The smart grid enables convenient data collection between smart meters and operation centers via data concentrators. However, it presents security and privacy issues for the customer. For instance, a malicious data concentrator can not only use consumption data for malicious purposes but also can reveal life patterns of the customers. Recently, several methods in different groups (e.g., secure data aggregation, etc.) have been proposed to collect the consumption usage in a privacy-preserving ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's Version

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Publisher copy:
10.3390/en11082085

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Braeken, A More by this author
Publisher:
MDPI Publisher's website
Journal:
Energies Journal website
Volume:
11
Issue:
8
Pages:
2085
Publication date:
2018-08-10
Acceptance date:
2018-08-01
DOI:
EISSN:
1996-1073
Pubs id:
pubs:892564
URN:
uri:578fd2bc-1c90-43aa-8360-f75787561a95
UUID:
uuid:578fd2bc-1c90-43aa-8360-f75787561a95
Local pid:
pubs:892564

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