Outsourceable Privacy-preserving Power Usage Control in a Smart Grid
Abstract
The smart grid systems, in replace of the traditional power grid systems, have been widely used among some well-known telecommunication, IT and power industries. These systems have multiple advantages such as energy efficiency, reliability and self-monitoring. To prevent power outage, threshold based power usage control (PUC) in a smart grid considers a situation where the utility company sets a threshold to control the total power usage of a neighborhood. If the total power usage exceeds the threshold, certain households need to reduce their power consumption. In PUC, the utility company needs to frequently collect power usage data from smart meters. It has been well documented that these power usage data can reveal a person's daily activity and violate personal privacy. To avoid the privacy concern, privacy-preserving power usage control (P-PUC) protocols have been introduced. However, the existing P-PUC protocols are not very efficient and the computations cannot be outsourced to a cloud server. Thus, the utility company cannot take advantage of the cloud computing paradigm to potentially reduce its operational cost. The goal of this paper is to develop a P-PUC protocol whose computation/execution is outsourceable to a cloud. In addition, the proposed protocol is much more efficient than the existing P-PUC protocols. We will provide extensive empirical study to show the practicality of our proposed protocol.
Recommended Citation
H. Chun et al., "Outsourceable Privacy-preserving Power Usage Control in a Smart Grid," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9149, pp. 119 - 134, Springer, Jan 2015.
The definitive version is available at https://doi.org/10.1007/978-3-319-20810-7_8
Department(s)
Computer Science
Keywords and Phrases
Power usage control; Privacy-preserving; Smart grid
International Standard Book Number (ISBN)
978-331920809-1
International Standard Serial Number (ISSN)
1611-3349; 0302-9743
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Springer, All rights reserved.
Publication Date
01 Jan 2015
Comments
National Science Foundation, Grant CNS-1011984