Privacy Preservation in Smart Meters: Current Status, Challenges and Future Directions
- PMID: 37050757
- PMCID: PMC10098615
- DOI: 10.3390/s23073697
Privacy Preservation in Smart Meters: Current Status, Challenges and Future Directions
Abstract
Recent years have seen the rapid development of technologies in Smart Grids (SGs) to enhance electricity networks with digital and data communication technologies. SGs can proactively detect, react, and respond to dynamic changes in the network. SGs can also enhance the efficiency and reliability of electricity supplies and promote the integration of renewable energy sources. Smart Meters (SMs) are often seen as the first step to a successful implementation of SGs. While SMs enable Utility Providers and consumers to obtain near real-time information of energy consumption, they can also be exploited to infer sensitive consumer data. Therefore, privacy preservation in SMs is paramount in ensuring the widespread and successful deployment of SGs. In this paper, we present a comprehensive survey of the state-of-the-art SM privacy-preserving techniques published in the literature over the past decade. We categorize these techniques based on the attack types and their objectives. We aim to offer a unique perspective in this survey article through the lens of privacy preservation, cross-cutting the wide range of techniques presented in the literature. We conclude by identifying the challenges and highlighting key future research directions in the field.
Keywords: adversaries; privacy preservation; renewable energy; smart grids; smart meters.
Conflict of interest statement
The authors declare no conflict of interest.
Figures




Similar articles
-
Control and Optimisation of Power Grids Using Smart Meter Data: A Review.Sensors (Basel). 2023 Feb 13;23(4):2118. doi: 10.3390/s23042118. Sensors (Basel). 2023. PMID: 36850711 Free PMC article. Review.
-
E-DPNCT: an enhanced attack resilient differential privacy model for smart grids using split noise cancellation.Sci Rep. 2023 Nov 9;13(1):19546. doi: 10.1038/s41598-023-45725-9. Sci Rep. 2023. PMID: 37945628 Free PMC article.
-
Deep Anomaly Detection Framework Utilizing Federated Learning for Electricity Theft Zero-Day Cyberattacks.Sensors (Basel). 2024 May 20;24(10):3236. doi: 10.3390/s24103236. Sensors (Basel). 2024. PMID: 38794091 Free PMC article.
-
Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks.Sensors (Basel). 2020 Feb 29;20(5):1337. doi: 10.3390/s20051337. Sensors (Basel). 2020. PMID: 32121451 Free PMC article.
-
Potential smart grid vulnerabilities to cyber attacks: Current threats and existing mitigation strategies.Heliyon. 2024 Sep 16;10(19):e37980. doi: 10.1016/j.heliyon.2024.e37980. eCollection 2024 Oct 15. Heliyon. 2024. PMID: 39398004 Free PMC article. Review.
References
-
- Hossain M.B., Natgunanathan I., Xiang Y., Yang L.-X., Huang G. Enhanced smart meter privacy protection using rechargeable batteries. IEEE Internet Things J. 2019;6:7079–7092. doi: 10.1109/JIOT.2019.2914135. - DOI
-
- Hossain M.B., Natgunanathan I., Xiang Y., Zhang Y. Cost-Friendly differential privacy of smart meters using energy storage and harvesting devices. IEEE Trans. Serv. Comput. 2021;15:2648–2657. doi: 10.1109/TSC.2021.3081170. - DOI
-
- Natgunanathan I., Hossain M.B., Xiang Y., Gao L., Peng D., Li J. Progressive average based smart meter privacy enhancement using rechargeable batteries. IEEE Internet Things J. 2019;6:9816–9828. doi: 10.1109/JIOT.2019.2932085. - DOI
-
- Chopra A., Kundra V., Weiser P. A Policy Framework for the 21st Century Grid: Enabling Our Secure Energy Future. Report; Executive Office of the President of the United States; Washington, DC, USA: 2011.
-
- Han X., You S., Thordarson F., Tackie D.V., Østberg S.M., Pedersen O.M., Bindner H.W., Nordentoft N.C. Real-time measurements and their effects on state estimation of distribution power system; Proceedings of the IEEE PES ISGT Europe 2013; Lyngby, Denmark. 6–9 October 2013; pp. 1–5.
Publication types
LinkOut - more resources
Full Text Sources
Miscellaneous