Secure and Evaluable Clustering Based on a Multifunctional and Privacy-Preserving Outsourcing Computation Toolkit.
Jialin LiPenghao LuXuemin LinPublished in: IEEE Access (2022)
Keyphrases
- privacy preserving
- secure multi party computation
- vertically partitioned data
- scalar product
- secure multiparty computation
- horizontally partitioned data
- multi party
- homomorphic encryption
- sensitive data
- privacy preserving data mining
- partitioned data
- privacy preservation
- user privacy
- private information
- horizontally partitioned
- data privacy
- differential privacy
- privacy concerns
- data providers
- sensitive information
- privacy preserving association rule mining
- privacy preserving classification
- preserving privacy
- privacy issues
- information systems
- service providers
- data perturbation
- private data
- personal data
- record linkage
- privacy protection
- dot product
- private information retrieval
- privacy guarantees
- naive bayesian classification