Paper Info
Title
Efficient privacy-preserved data query over ciphertext in cloud computing
Abstract
AbstractAs cloud computing becomes prevalent, more and more sensitive information are being centralized into the cloud. A basic methodology that may address cloud data privacy issue is to encrypt the data before outsourcing. However, this makes effective data utilization, for example, searching a very challenging task. Although some searchable encryption schemes have been proposed to allow a user to search over encrypted data, these techniques are extremely difficult to provide efficient encrypted data query with various service patterns such as nonuniform data distribution, nonuniform query workload, and attributes join query. In this paper, we research efficient privacy-preserved data query methodologies for querying cipher-text numeric relational data in cloud computing. To provide efficient relational data query service just as DBMS does through SQL, we propose a service-oriented query SOQ algorithm that adaptively adjusts the encrypted data buckets based on sensitive data distribution and query workload. Moreover, we propose a two-stage index to address the issue of join query between encrypted attributes that has not been well solved to our knowledge. We design experiments to evaluate performances of our schemes and algorithms, which show that our methods achieve satisfactory encrypted data query performances. Copyright © 2013 John Wiley & Sons, Ltd.
Year
DOI
Venue
2014
10.1002/sec.824
Periodicals
Keywords
Field
DocType
cloud computing,privacy-preserved data query,service-oriented query,two stage index
Query optimization,RDF query language,Query language,Query expansion,Computer science,Sargable,Web query classification,View,Query by Example,Database
Journal
Volume
Issue
ISSN
7
6
1939-0114
Citations 
PageRank 
References 
0
0.34
13
Authors
6
Name
Order
Citations
PageRank
Wei Song1277.81
Zhiyong Peng239583.65
Qian Wang33091152.46
Fangquan Cheng461.85
Xiaoxin Wu547538.35
Yihui Cui621.04