DocumentCode
160716
Title
Secure Deduplication Storage Systems with Keyword Search
Author
Jin Li ; Xiaofeng Chen ; Xhafa, Fatos ; Barolli, Leonard
Author_Institution
Sch. of Comput. Sci., Guangzhou Univ., Guangzhou, China
fYear
2014
fDate
13-16 May 2014
Firstpage
971
Lastpage
977
Abstract
Data deduplication is an attractive technology to reduce storage space and upload bandwidth for increasing vast amount of duplicated and redundant data. In a cloud storage system with data deduplication, duplicate copies of data will be eliminated and only one copy will be kept in the storage. To protect the confidentiality of sensitive data while supporting deduplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing. However, the issue of keyword search over encrypted data in deduplication storage system has to be addressed for efficient data utilization. This paper firstly proposes two constructions which support secure keyword search in this scenario. In these constructions, the integrity of the data can be realized by just checking the convergent key, without other traditional integrity auditing mechanisms. Security analysis demonstrates that our keyword search schemes are secure in terms of the definitions specified in the proposed security model.
Keywords
cloud computing; cryptography; data compression; data integrity; secure storage; cloud storage system; convergent key; data deduplication; data utilization; encryption technique; integrity auditing mechanisms; secure deduplication storage systems; secure keyword search; security analysis; storage space; Cloud computing; Encryption; Indexes; Keyword search; Servers; Deduplication; distributed storage system; reliability; secret sharing;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference on
Conference_Location
Victoria, BC
ISSN
1550-445X
Print_ISBN
978-1-4799-3629-8
Type
conf
DOI
10.1109/AINA.2014.118
Filename
6838769
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