PHRkNN: Efficient and Privacy-Preserving Reverse kNN Query Over High-Dimensional Data in Cloud.
Yandong ZhengHui ZhuRongxing LuYunguo GuanSongnian ZhangFengwei WangJun ShaoHui LiPublished in: IEEE Trans. Dependable Secur. Comput. (2024)
Keyphrases
- high dimensional data
- privacy preserving
- knn
- nearest neighbor
- k nearest neighbor
- distance computation
- similarity search
- range queries
- distance function
- privacy preserving data mining
- indexing structure
- high dimensional
- dimensionality reduction
- data points
- vertically partitioned data
- data privacy
- high dimensionality
- low dimensional
- nearest neighbor search
- input space
- dimension reduction
- data sets
- dimensional data
- classification algorithm
- nonlinear dimensionality reduction
- query processing
- sparse representation
- text categorization
- original data
- manifold learning
- database
- cloud computing
- missing values
- feature selection
- index structure
- neural network
- text classification
- linear discriminant analysis
- data structure
- locality sensitive hashing
- data analysis
- random projections
- information retrieval
- input data
- feature space
- decision trees
- dimensionality reduction methods
- binary codes
- pattern recognition