Title
Enabling Efficient Multi-Keyword Ranked Search Over Encrypted Mobile Cloud Data Through Blind Storage
Abstract
In mobile cloud computing, a fundamental application is to outsource the mobile data to external cloud servers for scalable data storage. The outsourced data, however, need to be encrypted due to the privacy and confidentiality concerns of their owner. This results in the distinguished difficulties on the accurate search over the encrypted mobile cloud data. To tackle this issue, in this paper, we develop the searchable encryption for multi-keyword ranked search over the storage data. Specifically, by considering the large number of outsourced documents (data) in the cloud, we utilize the relevance score and k-nearest neighbor techniques to develop an efficient multi-keyword search scheme that can return the ranked search results based on the accuracy. Within this framework, we leverage an efficient index to further improve the search efficiency, and adopt the blind storage system to conceal access pattern of the search user. Security analysis demonstrates that our scheme can achieve confidentiality of documents and index, trapdoor privacy, trapdoor unlinkability, and concealing access pattern of the search user. Finally, using extensive simulations, we show that our proposal can achieve much improved efficiency in terms of search functionality and search time compared with the existing proposals.
Year
DOI
Venue
2015
10.1109/TETC.2014.2371239
IEEE Trans. Emerging Topics Comput.
Keywords
Field
DocType
search efficiency,relevance score,outsourced documents,confidentiality concerns,access pattern,data privacy,trapdoor privacy,cryptography,encrypted mobile cloud data,multikeyword ranked search,storage management,information retrieval,mobile cloud computing,cloud computing,mobile data outsourcing,search user access pattern,search functionality,outsourcing,external cloud servers,file servers,trapdoor unlinkability,data storage,search time,security analysis,multi-keyword ranked search,blind storage,searchable encryption,document handling,privacy concerns,mobile computing,k-nearest neighbor techniques,mobile communication,indexes,encryption,vectors,servers
Mobile cloud computing,Mobile computing,File server,Computer science,Server,Encryption,Information privacy,Database,Cloud computing,Scalability
Journal
Volume
Issue
ISSN
3
1
2168-6750
Citations 
PageRank 
References 
47
1.31
26
Authors
5
Name
Order
Citations
PageRank
Hongwei Li11255.32
Dongxiao Liu21517.14
Yuan-Shun Dai3135798.96
Tom H. Luan488060.47
Xuemin Shen515389928.67