Localized Differential Privacy-based Data Privacy Protection Scheme for Home Smart Meters.

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.