Blockchain-based privacy protection scheme for electric energy metering data
Tao Liu, Xiaohong Cao, Jin Li, Shaocheng Wu, Xiaowei Chen, Yueming Lu · 2020
As a new generation of power system, smart grid has efficient and sustainable service capabilities. However, in most application scenarios, people only pay attention to the availability of data and ignore the security of the data. In order to solve the problem of user data information leakage in the smart grid system, we propose a blockchain-based privacy protection scheme for electric energy data. In the data acquisition stage, the threshold ElGamal homomorphic encryption algorithm is used to aggregate the energy measurement data. In the data storage stage, the combination of on chain and off chain storage mode is adopted to generate the certificate information of privacy data and upload it to the blockchain. On the premise of protecting the privacy and security of personal power consumption, the power consumption in the area is collected to realize the safe storage of private data, which provides reference for the energy dispatching of smart grid in the future.