CrowdFA: A Privacy-Preserving Mobile Crowdsensing Paradigm via Federated Analytics.
Bowen ZhaoXiaoguo LiXimeng LiuQingqi PeiYingjiu LiRobert H. DengPublished in: IEEE Trans. Inf. Forensics Secur. (2023)
Keyphrases
- privacy preserving
- privacy preserving data mining
- vertically partitioned data
- privacy sensitive
- multi party
- privacy preservation
- mobile phone
- mobile devices
- sensitive information
- mobile environments
- data privacy
- private information
- privacy concerns
- digital libraries
- data mining
- record linkage
- privacy protection
- mobile applications
- business intelligence
- data management
- partitioned data
- secure multiparty computation
- preserving privacy
- mobile users
- location aware
- databases
- horizontally partitioned
- privacy issues
- scalar product
- privacy preserving association rule mining
- decision trees
- data perturbation
- privacy requirements
- privacy guarantees
- data publishing
- private data
- differential privacy
- social media
- sensitive data