A Differentially Private Data Transmission Scheme for Advanced Metering Infrastructures

Traditional energy consumption data collection is usually deployed with weak security and privacy protection measures, resulting in high risks of data leakage and unauthorized access. To alleviate this problem, we propose a secure and privacy-preserving data transmission scheme (called DPDT) for advanced metering infrastructures based on local differential privacy protection and SM4 symmetric encryption algorithm. Specifically, we first protect the privacy of each client’s energy consumption data via the local differential privacy mechanism. Second, we employ the standard SM4 symmetric encryption algorithm to encrypt the aggregated data, in purpose of ensuring the data transmission. Further, we strictly prove the security of the proposed DPDT scheme, and verify the efficacy via extensive experiments.