Design of privacy preserving model based on clustering involved anonymization along with feature selection.
S. SrijayanthiT. SethukarasiPublished in: Comput. Secur. (2023)
Keyphrases
- privacy preserving
- feature selection
- privacy preservation
- privacy preserving data mining
- data privacy
- vertically partitioned data
- multi party
- horizontally partitioned data
- preserving privacy
- data publishing
- private data
- private information
- sensitive information
- differential privacy
- privacy protection
- data anonymization
- privacy requirements
- personal data
- privacy issues
- data perturbation
- high dimensionality
- naive bayesian classification
- partitioned data
- record linkage
- privacy preserving data publishing
- privacy concerns
- secure multiparty computation
- machine learning
- feature space
- data points
- user privacy
- high dimensional data
- information loss