DEFenD: A Secure and Privacy-Preserving Decentralized System for Freight Declaration.
Daniël VosLeon OverweelWouter RaatelandJelle VosMatthijs BijmanMax PigmansZekeriya ErkinPublished in: CoRR (2018)
Keyphrases
- privacy preserving
- vertically partitioned data
- scalar product
- secure multiparty computation
- horizontally partitioned data
- sensitive data
- multi party
- homomorphic encryption
- privacy preserving data mining
- data privacy
- privacy preservation
- secure multi party computation
- private information
- user privacy
- privacy protection
- horizontally partitioned
- privacy preserving association rule mining
- sensitive information
- privacy guarantees
- record linkage
- data security
- privacy concerns
- peer to peer
- private data
- privacy issues
- semi honest
- preserving privacy
- data perturbation
- distributed systems
- privacy preserving classification
- differential privacy
- partitioned data
- naive bayesian classification
- privacy sensitive
- privacy requirements