Lightweight machine learning for privacy-preserving and secure networked medical devices: The SEPTON project use cases.
Sotiris MessinisNicholas ProtonotariosIoannis N. TzortzisIoannis RallisDimitrios KalogerasNikolaos DoulamisPublished in: PETRA (2023)
Keyphrases
- lightweight
- privacy preserving
- machine learning
- vertically partitioned data
- medical devices
- horizontally partitioned data
- scalar product
- multi party
- secure multiparty computation
- privacy preserving data mining
- sensitive data
- privacy preservation
- user privacy
- data privacy
- private information
- authentication protocol
- horizontally partitioned
- homomorphic encryption
- sensitive information
- privacy concerns
- privacy protection
- privacy preserving association rule mining
- privacy sensitive
- wireless sensor networks
- cryptographic protocols
- data collection
- data mining
- decision trees
- data analysis
- privacy guarantees
- finite state machines