IronM: Privacy-Preserving Reliability Estimation of Heterogeneous Data for Mobile Crowdsensing.
Bowen ZhaoShaohua TangXimeng LiuXinglin ZhangWei-Neng ChenPublished in: IEEE Internet Things J. (2020)
Keyphrases
- privacy preserving
- heterogeneous data
- data integration
- privacy preserving data mining
- vertically partitioned data
- data sources
- data management
- metadata
- privacy preservation
- complex data
- private information
- databases
- privacy sensitive
- multi party
- mobile devices
- sensitive information
- secure multiparty computation
- information sources
- privacy protection
- data privacy
- horizontally partitioned data
- privacy concerns
- privacy preserving association rule mining
- differential privacy
- privacy issues
- private data
- scalar product
- data sets
- sensitive data
- mobile users
- preserving privacy
- web data
- high dimensional data
- search engine