• 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