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Mobile Information Systems
Volume 2017 (2017), Article ID 3680671, 11 pages
Research Article

Efficient and Privacy-Aware Power Injection over AMI and Smart Grid Slice in Future 5G Networks

1National Engineering Laboratory for Wireless Security, Xi’an University of Posts and Telecommunications, Xi’an 710121, China
2State Key Laboratory of Cryptology, Beijing 100878, China
3Westone Cryptologic Research Center, Beijing 100070, China

Correspondence should be addressed to Yinghui Zhang; moc.361@gnaahzhy and Dong Zheng; moc.liamtoh@otpyrcgnehzd

Received 20 October 2016; Revised 8 December 2016; Accepted 4 January 2017; Published 30 January 2017

Academic Editor: Jing Zhao

Copyright © 2017 Yinghui Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Smart grid is critical to the success of next generation of power grid, which is expected to be characterized by efficiency, cleanliness, security, and privacy. In this paper, aiming to tackle the security and privacy issues of power injection, we propose an efficient and privacy-aware power injection (EPPI) scheme suitable for advanced metering infrastructure and 5G smart grid network slice. In EPPI, each power storage unit first blinds its power injection bid and then gives the blinded bid together with a signature to the local gateway. The gateway removes a partial blind factor from each blinded bid and then sends to the utility company aggregated bid and signature by using a novel aggregation technique called hash-then-addition. The utility company can get the total amount of collected power at each time slot by removing a blind factor from the aggregated bid. Throughout the EPPI system, both the gateway and the utility company cannot know individual bids and hence user privacy is preserved. In particular, EPPI allows the utility company to check the integrity and authenticity of the collected data. Finally, extensive evaluations indicate that EPPI is secure and privacy-aware and it is efficient in terms of computation and communication cost.