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 in | 2010 First IEEE International Conference on Smart Grid Communications pp. 327 - 332 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.10.2010
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Subjects | |
Online Access | Get full text |
ISBN | 9781424465101 1424465109 |
DOI | 10.1109/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. |
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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 |
Author_xml | – sequence: 1 surname: Fengjun Li fullname: Fengjun Li email: fli@ist.psu.edu organization: Coll. of IST, Pennsylvania State Univ., University Park, PA, USA – sequence: 2 surname: Bo Luo fullname: Bo Luo email: bluo@ku.edu organization: Dept. of EECS, Univ. of Kansas Lawrence, Lawrence, KS, USA – sequence: 3 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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