Secure Information Aggregation for Smart Grids Using Homomorphic Encryption

In this paper, we present a distributed incremental data aggregation approach, in which data aggregation is performed at all smart meters involved in routing the data from the source meter to the collector unit. With a carefully constructed aggregation tree, the aggregation route covers the entire l...

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Published in2010 First IEEE International Conference on Smart Grid Communications pp. 327 - 332
Main Authors Fengjun Li, Bo Luo, Peng Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
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ISBN9781424465101
1424465109
DOI10.1109/SMARTGRID.2010.5622064

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Abstract In this paper, we present a distributed incremental data aggregation approach, in which data aggregation is performed at all smart meters involved in routing the data from the source meter to the collector unit. With a carefully constructed aggregation tree, the aggregation route covers the entire local neighborhood or any arbitrary set of designated nodes with minimum overhead. To protect user privacy, homomorphic encryption is used to secure the data en route. Therefore, all the meters participate in the aggregation, without seeing any intermediate or final result. In this way, our approach supports efficient data aggregation in smart grids, while fully protecting user privacy. This approach is especially suitable for smart grids with repetitive routine data aggregation tasks.
AbstractList In this paper, we present a distributed incremental data aggregation approach, in which data aggregation is performed at all smart meters involved in routing the data from the source meter to the collector unit. With a carefully constructed aggregation tree, the aggregation route covers the entire local neighborhood or any arbitrary set of designated nodes with minimum overhead. To protect user privacy, homomorphic encryption is used to secure the data en route. Therefore, all the meters participate in the aggregation, without seeing any intermediate or final result. In this way, our approach supports efficient data aggregation in smart grids, while fully protecting user privacy. This approach is especially suitable for smart grids with repetitive routine data aggregation tasks.
Author Bo Luo
Peng Liu
Fengjun Li
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  surname: Fengjun Li
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  organization: Coll. of IST, Pennsylvania State Univ., University Park, PA, USA
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  surname: Bo Luo
  fullname: Bo Luo
  email: bluo@ku.edu
  organization: Dept. of EECS, Univ. of Kansas Lawrence, Lawrence, KS, USA
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  surname: Peng Liu
  fullname: Peng Liu
  email: pliu@ist.psu.edu
  organization: Coll. of IST, Pennsylvania State Univ., University Park, PA, USA
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Snippet In this paper, we present a distributed incremental data aggregation approach, in which data aggregation is performed at all smart meters involved in routing...
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StartPage 327
SubjectTerms Encryption
Power generation
Privacy
Public key
Smart grids
Title Secure Information Aggregation for Smart Grids Using Homomorphic Encryption
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