Paper Info
Title
CPP: Towards comprehensive privacy preserving for query processing in information networks.
Abstract
•A novel framework is proposed to provide comprehensive privacy preserving for query processing in information networks, including data privacy, storage privacy and query privacy.•A basic implementation scheme for supporting key-value search under this framework is devised, where search key and commutative encryption are carefully designed for guaranteeing the security of the framework.•A more efficient implementation scheme is developed based on a tradeoff mechanism between security and efficiency, for efficient query processing over large amounts of data.•Both theoretical analysis and experimental results are given, which validate the proposed framework and the implementation schemes.
Year
DOI
Venue
2018
10.1016/j.ins.2018.08.010
Information Sciences
Keywords
Field
DocType
Privacy preserving,Query processing,Information networks
Information networks,Theoretical computer science,Artificial intelligence,Commutative encryption,Information privacy,Machine learning,Mathematics,Speedup,Bounded function
Journal
Volume
ISSN
Citations 
467
0020-0255
1
PageRank 
References 
Authors
0.35
34
6
Name
Order
Citations
PageRank
Chaobin Liu110.35
Shuigeng Zhou22089207.00
Haibo Hu3106866.30
Yuzhe Tang414721.06
Jihong Guan565781.13
Yao Ma641.06