Title
A secure kNN query processing algorithm using homomorphic encryption on outsourced database
Abstract
With the adoption of cloud computing, database outsourcing has emerged as a new platform. Due to the serious privacy concerns associated with cloud computing, databases must be encrypted before being outsourced to the cloud. Therefore, various k-nearest neighbor (kNN) query processing techniques have been proposed for encrypted databases. However, existing schemes are either insecure or inefficient. In this paper, we propose a new secure kNN query processing algorithm. Our algorithm guarantees the confidentiality of both encrypted data and users’ query records. To achieve a high level of query processing efficiency, we also devise an encrypted index search scheme that performs data filtering without revealing data access patterns. A performance analysis shows that the proposed scheme outperforms the existing scheme in terms of query processing costs while preserving data privacy.
Year
DOI
Venue
2019
10.1016/j.datak.2017.07.005
Data & Knowledge Engineering
Keywords
Field
DocType
Database outsourcing,Database encryption,Encrypted index structure,Data privacy,kNN query processing
Query optimization,Data mining,Query expansion,Computer science,Sargable,View,Algorithm,Encryption,Information privacy,Database encryption,Database,Cloud computing
Journal
Volume
Issue
ISSN
123
1
0169-023X
Citations 
PageRank 
References 
4
0.40
18
Authors
3
Name
Order
Citations
PageRank
Hyeong-Il Kim17411.46
Hyeong-Jin Kim294.25
Jae-Woo Chang340199.85