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
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;
Conference_Titel :
Advanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
978-1-4799-3629-8
DOI :
10.1109/AINA.2014.118