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Appl. Sci. 2017, 7(10), 1007;

Privacy-Preserving Aggregation and Authentication of Multi-Source Smart Meters in a Smart Grid System

Department of Electronics and Information Engineering, Hansung University, 116 Samseongyo-ro 16-gil, Seongbuk-gu, Seoul 02876, Korea
School of Computer & Information Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, Korea
Department of Computer Science and Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea
Authors to whom correspondence should be addressed.
Received: 31 July 2017 / Revised: 19 September 2017 / Accepted: 26 September 2017 / Published: 29 September 2017
(This article belongs to the Section Computer Science and Electrical Engineering)
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The smart grid is a promising electrical grid paradigm for enhancing flexibility and reliability in power transmission through two-way communications among grid entities. In the smart grid system, the privacy of usage information measured by individual smart meters has gained significant attention, owing to the possibility of personal information inference. Moreover, efficient and reliable power provisioning can be seriously impeded through illicit manipulations of aggregated data under the influence of malicious adversaries. Due to such potential risks, it becomes an important requirement for the smart grid to preserve privacy of metering data by secure aggregation and to authenticate the aggregated result in an efficient manner within large scale environments. From this perspective, this paper investigates the current status of security and privacy in smart grid systems and representative state-of-the-art studies in secure aggregation and authentication of metering data for future directions of a smart grid. View Full-Text
Keywords: smart grid; privacy; aggregation; authentication; efficiency smart grid; privacy; aggregation; authentication; efficiency

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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 (CC BY 4.0).

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Koo, D.; Shin, Y.; Hur, J. Privacy-Preserving Aggregation and Authentication of Multi-Source Smart Meters in a Smart Grid System. Appl. Sci. 2017, 7, 1007.

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