Designing Secure and Privacy-Preserving Information Systems for Industry Benchmarking.
Jan PennekampJohannes LohmöllerEduard VladJoscha LoosNiklas RodemannPatrick SapelIna Berenice FinkSeth SchmitzChristian HopmannMatthias JarkeGünther SchuhKlaus WehrleMartin HenzePublished in: CAiSE (2023)
Keyphrases
- privacy preserving
- vertically partitioned data
- information systems
- secure multiparty computation
- scalar product
- sensitive data
- multi party
- horizontally partitioned data
- homomorphic encryption
- privacy preserving data mining
- user privacy
- privacy preservation
- secure multi party computation
- sensitive information
- horizontally partitioned
- private information
- data privacy
- privacy preserving association rule mining
- privacy protection
- privacy guarantees
- data perturbation
- differential privacy
- privacy requirements
- preserving privacy
- privacy sensitive
- private data
- data publishing
- personal data
- record linkage
- privacy concerns
- decision trees
- privacy preserving classification
- privacy issues
- encryption scheme
- naive bayesian classification
- information security