We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
E-LPDAE: An Edge-Assisted Lightweight Power Data Aggregation and Encryption Scheme.
- Authors
Wu, Junhua; Xu, Zhuqing; Li, Guangshun; Fan, Cang; Jin, Zhenyu; Zheng, Yuanwang
- Abstract
In smart grid systems, electric utilities require real-time access to customer electricity data; however, these data might reveal users' private information, presenting opportunities for edge computing to encrypt the information while also posing new challenges. In this paper, we propose an Edge-assisted Lightweight Power Data Aggregation Encryption (E-LPDAE) scheme for secure communication in a smart grid. First, in the edge privacy aggregation model, the data of smart meters are rationally divided and stored in a distributed manner using simulated annealing region division, and the edge servers of trusted organizations perform key one-time settings. The model encrypts the data using Paillier homomorphic encryption. It then runs a virtual name-based verification algorithm to achieve identity anonymization and verifiability of the encrypted data. The experimental results indicate that the E-LPDAE scheme reduces overall system power consumption and has significantly lower computation and communication overhead than existing aggregation schemes.
- Subjects
DATA encryption; ELECTRIC utilities; SIMULATED annealing; GRIDS (Cartography); SMART meters; EDGE computing
- Publication
Security & Communication Networks, 2022, p1
- ISSN
1939-0114
- Publication type
Article
- DOI
10.1155/2022/6218094