DocumentCode :
2182424
Title :
An Efficient Multi-keyword Ranked Retrieval Scheme with Johnson-Lindenstrauss Transform over Encrypted Cloud Data
Author :
Ke Li ; Weiming Zhang ; Ke Tian ; Rundong Liu ; Nenghai Yu
fYear :
2013
fDate :
16-19 Dec. 2013
Firstpage :
320
Lastpage :
327
Abstract :
Cloud computing is becoming more and more popular recently, and this trend encourages large corporations and companies to outsource their data to a remote cloud server. However, the concern of data privacy and security is a huge problem which impedes the development of cloud computing. It is essential and necessary to propose a scheme to realize the information retrieval and protect the data privacy at the same time. Since ranked multi-keyword search is a pretty practical question in this area and it has a significant influence on the user experience, we would mainly focus on the scheme to achieve high performance and low cost multi-keyword ranked search. In this paper, we proposed a novel search scheme with Johnson-Lindenstrauss transform (J-L scheme for short) and a technique called "optimised maximum query" to live up to our efficiency demand. Furthermore, we established a complete system to guarantee a set of strict privacy requirements. Extensive experiments on real-world database are presented to show our proposed scheme\´s efficiency and accuracy.
Keywords :
cloud computing; cryptography; data protection; matrix algebra; query processing; transforms; J-L scheme; Johnson-Lindenstrauss transform; cloud computing; data privacy protection; data security; encrypted cloud data; information retrieval; multikeyword ranked retrieval scheme; optimised maximum query technique; ranked multikeyword search; remote cloud server; Cryptography; Euclidean distance; Indexes; Privacy; Servers; Transforms; Vectors; cloud computing; multi-keyword ranked search; privacy preserving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing and Big Data (CloudCom-Asia), 2013 International Conference on
Conference_Location :
Fuzhou
Print_ISBN :
978-1-4799-2829-3
Type :
conf
DOI :
10.1109/CLOUDCOM-ASIA.2013.37
Filename :
6821010
Link To Document :
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