Abstract | ||
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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 neighbourhood or any arbitrary set of designated nodes with minimum overhead. To protect user privacy, homomorphic encryption is used to secure the data enroute. 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. |
Year | DOI | Venue |
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2011 | 10.1504/IJSN.2011.039631 | IJSN |
Keywords | Field | DocType |
incremental data,aggregation approach,smart grid,privacy-preserving information aggregation,aggregation tree,aggregation route,user privacy,data aggregation,aggregation task,repetitive routine data,efficient data aggregation,data security,cryptography,homomorphic encryption | Homomorphic encryption,Data security,Smart grid,Computer science,Computer security,Cryptography,Computer network,Metre (music),Information aggregation,Data aggregator,User privacy | Journal |
Volume | Issue | Citations |
6 | 1 | 43 |
PageRank | References | Authors |
1.61 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fengjun Li | 1 | 233 | 23.55 |
Bo Luo | 2 | 138 | 10.76 |
Peng Liu | 3 | 1701 | 171.49 |