Yiying Zhang
ABSTRACT
The data collected by the smart meter involves the user’s privacy, and there is a significant security risk in sending it to the cloud for statistical analysis. Therefore, this article proposes a localized differential privacy-based privacy protection scheme for home smart meters(LDP-HSM), which firstly discretizes the data by probability, then aggregates and analyzes the data locally after perturbation based on a random response technique and finally transmits the aggregated results homomorphically encrypted to the control center for further. Finally, analyze and process the data after homomorphic encryption on the server. It is proved by experiment that the scheme in this paper performs well in the availability of aggregation results and communication overhead.
- Bao H. and Lu R.2015. DDPFT: Secure data aggregation scheme with differential privacy and fault tolerance. In IEEE International Conference on Communications.Google Scholar
- Liu H., Chen J., Lin L., Ye A., and Huang C.2022. An Efficient and Privacy-Preserving Data Aggregation Scheme Supporting Arbitrary Statistical Functions in IoT. China Communications (English version) 19, 6 (2022), 91–104.Google Scholar
- Park J. H.2021. Homomorphic Encryption Based Privacy-Preservation for IoMT. Applied Sciences 11 (2021).Google Scholar
- Song Haina, Han Xinyu, Lv Jie, Luo Tao, and Li Jianfeng. 2022. MPLDS: An integration of CP-ABE and local differential privacy for achieving multiple privacy levels data sharing. Peer-to-Peer Networking and Applications 15, 1 (2022), 369–385.Google ScholarCross Ref
- Shangqian Li. 2021. Research on Data Privacy Protection and Secure Transmission Technology Based on smart meter System. Master’s thesis.Google Scholar
- Wang Linxin, Yang Peng, Jiang Yuan, Hou Yinglong, and Liao Xiaoqun. 2019. Research and Implementation of Big Data Privacy Protection Technology for Smart Grid. Power Information and Communication Technology 17, 12 (2019), 7.Google Scholar
- Chen Meihuan. [n. d.]. Research on Data Aggregation Scheme for Privacy Protection in Smart Grid. Ph. D. Dissertation. Chongqing University of Posts and Telecommunications.Google Scholar
- Gope P. and Sikdar B.2018. An Efficient Data Aggregation Scheme for Privacy-Friendly Dynamic Pricing-based Billing and Demand-Response Management in Smart Grids. IEEE Internet of Things Journal (2018), 3126–3135.Google Scholar
- Ye Qingqing, Meng Xiaofeng, Zhu Minjie, and Huo Zheng. 2018. A Review of Localized Differential Privacy Research. Journal of Software 29, 7 (2018), 25.Google Scholar
- Bayindir Ramazan, Hossain Eklas, and Vadi Seyfettin. 2016. The path of the smart grid -the new and improved power grid. In Smart Grid Workshop & Certificate Program.Google Scholar
- Safkhani, Masoumeh, Kumari, Saru, Shojafar, Mohammad, and Sachin Kumar. 2022. An authentication and key agreement scheme for smart grid. Peer-to-Peer Networking and Applications 35, 10 (2022), 22–31.Google Scholar
- Li Xiaoguang, Yan Haonan, Zheng Gewei, Li Hui, and Li Fenghua. 2022. Key-Value Data Collection with Distribution Estimation under Local Differential Privacy. Security and Communication Networks 22, 7 (2022), 12.Google Scholar
- Zhang Yao, Wang Aohan, and Zhang Hong. 2021. Overview of the Development of China’s Smart Grid. Power System Protection and Control 49, 5 (2021), 8.Google Scholar
Index Terms
- Localized Differential Privacy-based Data Privacy Protection Scheme for Home Smart Meters
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