$\bm {P}^{\bm {3}}$: Privacy-Preserving Prediction of Real-Time Energy Demands in EV Charging Networks.
Beibei LiYuqing GuoQingyun DuZiqing ZhuXiaohui LiRongxing LuPublished in: IEEE Trans. Ind. Informatics (2023)
Keyphrases
- privacy preserving
- privacy preserving data mining
- electric vehicles
- vertically partitioned data
- privacy preservation
- privacy concerns
- sensitive data
- information retrieval
- multi party
- data privacy
- horizontally partitioned data
- private information
- personal data
- differential privacy
- privacy sensitive
- data perturbation
- record linkage
- energy consumption
- social networks
- privacy issues
- private data
- data publishing
- scalar product
- partitioned data
- naive bayesian classification
- privacy guarantees
- user privacy
- privacy requirements
- preserving privacy
- privacy protection
- knn