Open AccessSmart Grid Data Security Aggregation Method Based on Fog Computing Architecture for Integrated Energy Services
Author(s) -
Chang Su,
Song Ge,
Gang Yining,
Zhenxian Yao
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/512/1/012116
Subject(s) - computer science , smart grid , computer security , architecture , data aggregator , confidentiality , encryption , grid , distributed computing , data security , information privacy , computer network , wireless sensor network , engineering , art , geometry , mathematics , electrical engineering , visual arts
Integrated energy systems incorporate new types of clean and distributed energy into the power grid. In the future, smart grid will emerge in the form of integrated energy services. However, the application of new technology inevitably brings the threat of privacy disclosure. To deal with this kind of information security, a smart grid data security aggregation technology based on fog computing architecture for integrated energy services is proposed in this paper. Real-time data is encrypted in the energy acquisition equipment to obtain the first layer of privacy protection, and fine-grained aggregation at the fog end to obtain the second layer of privacy protection, so as to achieve the confidentiality and privacy of the entire network data transmission and processing. Finally, the safety and performance evaluation shows that this technology has a great advantage over other schemes in terms of safety, practicability and efficiency.