4.8 Article

A Dynamic Membership Group-Based Multiple-Data Aggregation Scheme for Smart Grid

Journal

IEEE INTERNET OF THINGS JOURNAL
Volume 8, Issue 15, Pages 12360-12374

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2021.3063412

Keywords

Meters; Cryptography; Data aggregation; Real-time systems; Encryption; Encoding; Data privacy; Data privacy; data security; scalability; smart grids

Funding

  1. Basic Research Fund of Beijing University of Technology [YS20-1006761-006]
  2. Research on Elliptic Curve-Based Data Aggregation Schemes for Smart Grid [2020JSJKY002]
  3. Engineering Research Center of Intelligent Perception and Autonomous Control, Ministry of Education, China
  4. National Natural Science Foundation of China [61671030]

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This study proposes a multiple-data aggregation scheme based on dynamic membership groups to address meter failure and dynamic membership issues in smart grid systems. By using group-based key establishment and dynamic join/leave techniques, dynamic membership management is achieved.
In the smart grid, meters report their real-time electricity consumption data to a utility supplier, and the utility supplier can adjust its supply accordingly. However, adversaries can infer users' privacy behaviors based on publicly transferred real-time electricity consumption data. Data aggregation schemes protect users' privacy from being leaked. We find two major problems are unsolved: 1) meter failure problem and 2) dynamic membership problem. To solve these problems, we designed a dynamic membership group-based multiple-data aggregation scheme. First, a group-based key establishment scheme is proposed, meters are divided into groups, meters in a group build keys to encrypt their data, the meter failure problem is alleviated. If one group has broken meters, the other groups will not be affected. Second, the dynamic join, dynamic leave, and meter replacement techniques are proposed, and the dynamic membership is achieved by allowing meters to update their keys. The simulation results show a meter's computation cost and communication cost are the minima among the related works, which makes the proposed scheme more suitable for the IoT scenario. Besides, we designed a data encoding method and a data retrieve method, we designed two attacks: 1) bilinear map pairing attack and 2) zero attack.

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