AuthN-AuthZ: Integrated, User-Friendly and Privacy-Preserving Authentication and Authorization.
Tyler PhillipsXiaoyuan YuBrandon HaakensonShreya GoyalXukai ZouSaptarshi PurkayasthaHuanmei WuPublished in: TPS-ISA (2020)
Keyphrases
- user friendly
- privacy preserving
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- access control
- user interface
- sensitive information
- security requirements
- private information
- privacy protection
- horizontally partitioned data
- multi party
- private data
- data perturbation
- privacy sensitive
- privacy issues
- user friendly interface
- privacy concerns
- scalar product
- secure multiparty computation
- sensitive data
- privacy preserving association rule mining
- naive bayesian classification
- horizontally partitioned
- personal data
- partitioned data
- privacy guarantees
- databases
- data privacy
- information systems