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Peer-to-Peer Networking and Applications

Erschienen in:

01.09.2015

MuDA: Multifunctional data aggregation in privacy-preserving smart grid communications

verfasst von: Le Chen, Rongxing Lu, Zhenfu Cao, Khalid AlHarbi, Xiaodong Lin

Erschienen in: Peer-to-Peer Networking and Applications | Ausgabe 5/2015

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Abstract

Privacy-preserving data aggregation has been widely studied to meet the requirement of timely monitoring electricity consumption of users while protecting individual user’s data privacy in smart grid communications. In this paper, we propose a new multifunctional data aggregation scheme, named MuDA, for privacy-preserving smart grid communications. With MuDA, the smart grid control center can compute multiple statistical functions of users’ data in a privacy-preserving way to provide diversiform services. Moreover, MuDA is also designed to resist differential attacks that most secure data aggregation schemes may suffer. Through detailed security and utility analyses, we demonstrate that MuDA preserves users’ data privacy with acceptable noise rate. In addition, extensive performance evaluations are conducted to illustrate that our MuDA scheme is more efficient than a popular aggregation scheme in terms of communication overhead.

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Titel: MuDA: Multifunctional data aggregation in privacy-preserving smart grid communications
verfasst von: Le Chen
Rongxing Lu
Zhenfu Cao
Khalid AlHarbi
Xiaodong Lin
Publikationsdatum: 01.09.2015
Verlag: Springer US
Erschienen in: Peer-to-Peer Networking and Applications / Ausgabe 5/2015
Print ISSN: 1936-6442
Elektronische ISSN: 1936-6450
DOI: https://doi.org/10.1007/s12083-014-0292-0

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