An efficient clustering-based anonymization scheme for privacy-preserving data collection in IoT based healthcare services.
J. Andrew OnesimuJ. KarthikeyanYuichi SeiPublished in: Peer-to-Peer Netw. Appl. (2021)
Keyphrases
- privacy preserving
- data collection
- horizontally partitioned data
- privacy preservation
- privacy protection
- user privacy
- personal data
- privacy preserving data mining
- vertically partitioned data
- data privacy
- multi party
- cloud computing
- privacy guarantees
- context aware
- data publishing
- data perturbation
- record linkage
- privacy concerns
- private information
- sensitive data
- sensitive information
- privacy preserving data publishing
- mobile computing
- ubiquitous computing
- web services
- service providers
- location information
- privacy sensitive
- horizontally partitioned
- data analysis
- data anonymization
- privacy issues
- social networks
- preserving privacy
- private data
- sensor networks
- data management
- homomorphic encryption
- privacy requirements
- secure multiparty computation
- wireless sensor networks
- differential privacy
- privacy preserving association rule mining