Title :
BDO-SD: An efficient scheme for big data outsourcing with secure deduplication
Author :
Mi Wen ; Kejie Lu ; Jingsheng Lei ; Fengyong Li ; Jing Li
Author_Institution :
Sch. of Comput. Eng., Shanghai Univ. of Electr. Power, Shanghai, China
fDate :
April 26 2015-May 1 2015
Abstract :
In the big data era, duplicated copies of data may be generated by various smart devices. Although convergent encryption has been extensively adopted for secure deduplication, it is still very challenging to efficiently and reliably manage the convergent keys and support keyword search over encrypted data. This paper addresses this problem by presenting an efficient scheme for big data outsourcing with secure deduplication, named BDO-SD. Specifically, with the convergent encryption technique, data owners can outsource their data to the cloud server with data deduplication; with the idea of public key encryption and keywords search, a data user can query encrypted data while preserving its privacy. Security analysis demonstrates that our proposed BDO-SD scheme can achieve the data confidentiality, query privacy and key security. Simulation results show that compared with other schemes, our scheme can achieve better efficiency than the existing data deduplication schemes.
Keywords :
Big Data; data privacy; public key cryptography; BDO-SD scheme; Big Data outsourcing with secure deduplication; convergent encryption technique; data confidentiality; data owners; key security; keyword search; privacy preservation; public key encryption; query privacy; security analysis; Bismuth; Cascading style sheets; Cloud computing; Encryption; Keyword search; Big Data; Cloud Computing; Convergent Encryption; Data Deduplication; Keyword Search;
Conference_Titel :
Computer Communications Workshops (INFOCOM WKSHPS), 2015 IEEE Conference on
Conference_Location :
Hong Kong
DOI :
10.1109/INFCOMW.2015.7179387