Practical-oriented protocols for privacy-preserving outsourced big data analysis: Challenges and future research directions.
Zhe LiuKim-Kwang Raymond ChooMinghao ZhaoPublished in: Comput. Secur. (2017)
Keyphrases
- privacy preserving
- data analysis
- secure multi party computation
- horizontally partitioned data
- multi party
- secure multiparty computation
- scalar product
- privacy issues
- privacy preserving data mining
- homomorphic encryption
- privacy preservation
- vertically partitioned data
- real world
- private information
- third party
- preserving privacy
- record linkage
- privacy preserving association rule mining
- privacy concerns
- partitioned data
- privacy protection
- data privacy
- sensitive information
- privacy preserving data mining algorithms
- horizontally partitioned
- data mining
- data perturbation
- personal data
- machine learning
- privacy requirements
- private data
- visual analytics
- differential privacy
- sensitive data
- service providers
- privacy preserving classification
- semi honest
- naive bayesian classification
- privacy sensitive
- data collection
- knowledge discovery