Abstract:
The local differential privacy (LDP)-based data range query method has gained significant attention in the field of electric vehicles (EVs). Due to the reliance of most E...Show MoreMetadata
Abstract:
The local differential privacy (LDP)-based data range query method has gained significant attention in the field of electric vehicles (EVs). Due to the reliance of most EV charging services on third-party platforms, owner privacy is easily compromised. The range query is critical in addressing this problem. However, the current strategies face critical challenges in balancing privacy, accuracy, and efficiency. In this paper, we propose a privacy-preserving data range query (PPQ) scheme based on LDP. This innovative scheme comprises a data encryption optimization model, a data storage optimization (DSO) model, and a secure hierarchical decomposition (SHD) algorithm. The optimized unary encoding (OUE) protocol is used to solve privacy and accuracy issues. Furthermore, the efficiency problem is solved by optimizing the data storage structure and improving the speed of data aggregation using the DSO model and the SHD algorithm. The effectiveness of the PPQ scheme is verified by simulating V2G scenarios in different datasets. The discussion illustrates that the PPQ scheme can withstand various attacks, including collusion attacks, background knowledge attacks, membership inference attacks, and distributed denial of service attacks. It can also ensure query accuracy and query efficiency while ensuring data privacy.
Published in: IEEE Transactions on Network Science and Engineering ( Volume: 11, Issue: 1, Jan.-Feb. 2024)
Funding Agency:
School of Control and Computer Engineering, North China Electric Power University, Beijing, China
Zhichao Ju is currently working toward the Ph.D. degree with the School of Control and Computer Engineering, North China Electric Power University, Beijing, China. His research interests include local differential privacy, information security, and federated learning.
Zhichao Ju is currently working toward the Ph.D. degree with the School of Control and Computer Engineering, North China Electric Power University, Beijing, China. His research interests include local differential privacy, information security, and federated learning.View more
School of Control and Computer Engineering, North China Electric Power University, Beijing, China
Yuancheng Li received the Ph.D. degree from the University of Science and Technology of China, Hefei, China, in 2003. From 2004 to 2005, he was a Postdoctoral Research Fellow with Digital Media Laboratory, Beihang University, Beijing, China. Since 2005, he has been with North China Electric Power University, Beijing, China, where he is currently a Professor and the Dean of the Institute of Smart Grid and Information Secur...Show More
Yuancheng Li received the Ph.D. degree from the University of Science and Technology of China, Hefei, China, in 2003. From 2004 to 2005, he was a Postdoctoral Research Fellow with Digital Media Laboratory, Beihang University, Beijing, China. Since 2005, he has been with North China Electric Power University, Beijing, China, where he is currently a Professor and the Dean of the Institute of Smart Grid and Information Secur...View more
School of Control and Computer Engineering, North China Electric Power University, Beijing, China
Zhichao Ju is currently working toward the Ph.D. degree with the School of Control and Computer Engineering, North China Electric Power University, Beijing, China. His research interests include local differential privacy, information security, and federated learning.
Zhichao Ju is currently working toward the Ph.D. degree with the School of Control and Computer Engineering, North China Electric Power University, Beijing, China. His research interests include local differential privacy, information security, and federated learning.View more
School of Control and Computer Engineering, North China Electric Power University, Beijing, China
Yuancheng Li received the Ph.D. degree from the University of Science and Technology of China, Hefei, China, in 2003. From 2004 to 2005, he was a Postdoctoral Research Fellow with Digital Media Laboratory, Beihang University, Beijing, China. Since 2005, he has been with North China Electric Power University, Beijing, China, where he is currently a Professor and the Dean of the Institute of Smart Grid and Information Security. His research interests include power grid security, state estimation, information security, cloud computing, Big Data security, and cloud security.
Yuancheng Li received the Ph.D. degree from the University of Science and Technology of China, Hefei, China, in 2003. From 2004 to 2005, he was a Postdoctoral Research Fellow with Digital Media Laboratory, Beihang University, Beijing, China. Since 2005, he has been with North China Electric Power University, Beijing, China, where he is currently a Professor and the Dean of the Institute of Smart Grid and Information Security. His research interests include power grid security, state estimation, information security, cloud computing, Big Data security, and cloud security.View more