Privacy-Preserving of Power Consumption Big Data Based on Improved Group Signature and Homomorphic Encryption
Rixuan Qiu, Ming Shun Ai, Fuyong Zheng, Liang Liang, Yuancheng Li · 2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) · 2020
Smart grid is a highly integrated power system that combines modern advanced information and communication, sensor measurement and automatic control technology, including a large number of smart devices, with reliability, flexibility, safety and self-healing advantages a great service. However, devices such as smart meter in the network face the issue of disclosing user privacy when collecting, processing, and transmitting large amounts of data. To solve this problem, this paper puts forward a scheme based on improved group signature and homomorphic encryption, using improved group signature to determine the public and private key of smart meter and the signature of electricity data, encrypting and aggregating the electricity data with homomorphic encryption. Finally, in the transmission of data, the electricity data is always in the form of ciphertext, and the group signature scheme with forwarding security can avoid the harm caused by the disclosure of the private key, thus playing a role in privacy-preserving.