A Framework for Privacy-Preserving Multi-Party Skyline Query Based on Homomorphic Encryption.
Mahboob QaosarKazi Md. Rokibul AlamAsif ZamanChen LiSaleh AhmedMohammad Anisuzzaman SiddiqueYasuhiko MorimotoPublished in: IEEE Access (2019)
Keyphrases
- privacy preserving
- multi party
- homomorphic encryption
- vertically partitioned data
- privacy preserving data mining
- data privacy
- private information
- sensitive data
- privacy protection
- skyline queries
- sensitive information
- high dimensional
- privacy concerns
- multi agent
- distributed environment
- differential privacy
- digital libraries