TY - GEN
T1 - Edge Computing Based Privacy-Preserving Data Aggregation Scheme in Smart Grid
AU - Kang, Yuhao
AU - Guo, Songtao
AU - Li, Pan
AU - Yang, Yuanyuan
N1 - Publisher Copyright: © 2020 IEEE.
PY - 2020/11/6
Y1 - 2020/11/6
N2 - Smart grid is a highly intelligent power system integrating advanced communication technology, sensor measurement and automatic control technology, which is gradually replacing the traditional power grid. However, the smart grid faces challenges of balancing privacy, efficiency and functionality when processing massive amount of data. In this paper, a smart grid model based on edge computing paradigm is established, and then an efficient privacy-preserving multidimensional data aggregation scheme is proposed. This scheme adopts an improved identity-based signature algorithm and Paillier homomorphic cryptosystem to protect the privacy of users. In addition, super-increasing sequence is used in the proposed scheme to enable smart meters to report multiple types of data in a single reporting message, so that the Service Center (SC) can perform one-way analysis of variance on the data to provide users with more personalized services. Also the security analysis indicates that the proposed scheme works in protecting user's electricity consumption privacy. Finally, performance analyses indicate that this scheme can effectively reduce the computational overhead.
AB - Smart grid is a highly intelligent power system integrating advanced communication technology, sensor measurement and automatic control technology, which is gradually replacing the traditional power grid. However, the smart grid faces challenges of balancing privacy, efficiency and functionality when processing massive amount of data. In this paper, a smart grid model based on edge computing paradigm is established, and then an efficient privacy-preserving multidimensional data aggregation scheme is proposed. This scheme adopts an improved identity-based signature algorithm and Paillier homomorphic cryptosystem to protect the privacy of users. In addition, super-increasing sequence is used in the proposed scheme to enable smart meters to report multiple types of data in a single reporting message, so that the Service Center (SC) can perform one-way analysis of variance on the data to provide users with more personalized services. Also the security analysis indicates that the proposed scheme works in protecting user's electricity consumption privacy. Finally, performance analyses indicate that this scheme can effectively reduce the computational overhead.
KW - Edge computing
KW - Homomorphic cryptosystem
KW - Multidimensional data aggregation
KW - Privacy-preserving
KW - Smart grid
UR - https://www.scopus.com/pages/publications/85104446990
U2 - 10.1109/IPCCC50635.2020.9391567
DO - 10.1109/IPCCC50635.2020.9391567
M3 - Conference contribution
T3 - 2020 IEEE 39th International Performance Computing and Communications Conference, IPCCC 2020
BT - 2020 IEEE 39th International Performance Computing and Communications Conference, IPCCC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th IEEE International Performance Computing and Communications Conference, IPCCC 2020
Y2 - 6 November 2020 through 8 November 2020
ER -