A Privacy Preserving Framework for Rewarding Users in Opportunistic Mobile Crowdsensing.
Federico MontoriLuca BedogniPublished in: PerCom Workshops (2020)
Keyphrases
- privacy preserving
- privacy preserving data mining
- multi party
- personal data
- privacy preserving data mining algorithms
- privacy guarantees
- privacy concerns
- user centric
- privacy protection
- vertically partitioned data
- privacy preservation
- private data
- private information
- mobile applications
- data perturbation
- context aware
- data privacy
- mobile phone
- differential privacy
- record linkage
- horizontally partitioned data
- user privacy
- data mining
- end users
- mobile devices