Privacy-Preserving of Power Consumption Big Data Based on Improved Group Signature and Homomorphic Encryption

被引:1
作者
Qiu, Rixuan [1 ]
Ai, Ming [2 ]
Zheng, Fuyong [1 ]
Liang, Liang [1 ]
Li, Yuancheng [2 ]
机构
[1] State Grid Jiangxi Informat & Telecommun Co, Nanchang, Jiangxi, Peoples R China
[2] North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R China
来源
2020 IEEE 3RD INTERNATIONAL CONFERENCE ON AUTOMATION, ELECTRONICS AND ELECTRICAL ENGINEERING, AUTEEE | 2020年
关键词
group signature; smart grid; homomorphic encryption; data aggregation; privacy-preserving;
D O I
10.1109/AUTEEE50969.2020.9315655
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:25 / 29
页数:5
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