Issue No. 01 - June (2013 vol. 1)
Mi Wen , College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China
Rongxing Lu , School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore
Kuan Zhang , Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada
Jingsheng Lei , College of Computer Science and Technology, Shanghai University of Electric Power, Shanghai, China
Xiaohui Liang , Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada
Xuemin Shen , Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada
Smart grid, envisioned as an indispensable power infrastructure, is featured by real-time and two-way communications. How to securely retrieve and audit the communicated metering data for validation testing is, however, still challenging for smart grid. In this paper, we propose a novel privacy-preserving range query (PaRQ) scheme over encrypted metering data to address the privacy issues in financial auditing for smart grid. Our PaRQ allows a residential user to store metering data on a cloud server in an encrypted form. When financial auditing is needed, an authorized requester can send its range query tokens to the cloud server to retrieve the metering data. Specifically, the PaRQ constructs a hidden vector encryption based range query predicate to encrypt the searchable attributes and session keys of the encrypted data. Meanwhile, the requester's range query can be transferred into two query tokens, which are used to find the matched query results. Security analysis demonstrates that in the PaRQ, only the authorized requesters can obtain the query results, while the data confidentiality and query privacy are also preserved. The simulation results show that our PaRQ can significantly reduce communication and computation costs.
Privacy, Meter reading, Smart grids, Encryption, Data privacy, Query processing, Real-time systems
M. Wen, R. Lu, K. Zhang, J. Lei, X. Liang and X. Shen, "PaRQ: A Privacy-Preserving Range Query Scheme Over Encrypted Metering Data for Smart Grid," in IEEE Transactions on Emerging Topics in Computing, vol. 1, no. 1, pp. 178-191, 2013.