• DocumentCode
    731006
  • 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
  • fYear
    2015
  • fDate
    April 26 2015-May 1 2015
  • Firstpage
    214
  • Lastpage
    219
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications Workshops (INFOCOM WKSHPS), 2015 IEEE Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/INFCOMW.2015.7179387
  • Filename
    7179387