-jump: A strategy to design publicly-known algorithms for privacy preserving micro-data disclosure.
Wen Ming LiuLingyu WangLei ZhangShunzhi ZhuPublished in: J. Comput. Secur. (2015)
Keyphrases
- privacy preserving
- data privacy
- private information
- horizontally partitioned data
- private data
- privacy issues
- data structure
- preserving privacy
- data publishing
- database
- sensitive data
- privacy concerns
- privacy sensitive
- privacy protection
- record linkage
- data sets
- differentially private
- privacy preserving data publishing
- data mining techniques
- data mining algorithms
- data transformation
- sensitive information
- original data
- data distribution
- privacy preserving data mining
- personal data
- privacy preservation
- data perturbation
- data sources
- data points
- input data
- data mining applications
- data collection
- information loss
- vertically partitioned data
- partitioned data
- horizontally partitioned
- decision trees
- data integrity
- privacy guarantees
- raw data
- distributed data
- data quality
- statistical databases
- personal information