Abstract

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.

Highlights

  • The fifth generation of mobile technology (5G) is positioned to provide a holistic end-to-end infrastructure that will include all aspects of the network

  • Through extensive evaluations we show that efficient and privacy-aware power injection (EPPI) is secure and privacy-aware under the discrete logarithm assumption and it is efficient in terms of computation and communication cost

  • MACf will be used by the utility company IDu to ensure that the aggregated bid in each time slot stems from the intended power storage units and it has not been modified in transit

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Summary

Introduction

The fifth generation of mobile technology (5G) is positioned to provide a holistic end-to-end infrastructure that will include all aspects of the network. To solve the above problems, in this paper, we propose an Efficient and Privacy-aware Power Injection (EPPI) scheme suitable for AMI and 5G smart grid network slice. In AMI networks, smart meters periodically send finegrained power consumption data to the utility company. This data has a relation to the users’ activities and is sensitive. In [28], the utility company recovers the total amount of power by exhaustively computing jQ at different values of j ∈ Z∗q until jQ = ∑ni=1 biQ, where Q is a bilinear group element and bi is an individual power injection bid.

Cryptographic Background
Discrete Logarithm Assumption
System Architecture and Adversary Models
Proposed EPPI Scheme
Security and Privacy Analysis
Performance Evaluation
Conclusions
Full Text
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