• DocumentCode
    692949
  • Title

    Data privacy protection using multiple cloud storages

  • Author

    Zhang Wei ; Sun Xinwei ; Xu Tao

  • Author_Institution
    Sch. of Comput. Sci., Beijing Inf. Sci. & Technol. Univ., Beijing, China
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    1768
  • Lastpage
    1772
  • Abstract
    With the rapid development of cloud computing and storage technologies, an increasing number of businesses and individuals are using cloud to store or backup data. However, when users upload private data to the cloud, they lose absolute control over the data. With the continued development of cloud storage, the protection of users´ privacy has become a pertinent issue to be addressed. Currently, most users make use of a mainstream encryption algorithm to encrypt data before uploading and to decrypt the data after downloading and before use. To solve this problem, in this paper, we propose a new cloud storage privacy protection method that involves bit split (BS) and bit combination (BC). BS is performed on data and reassembled to form numerous part-files before these are uploaded to the different cloud storage servers. After downloading, the part-files from multiple cloud servers are combined to re-create the original file. Experiments show that this method is effective in protecting the privacy of the users´ data, with a performance improvement of ~20 times compared with traditional encryption and decryption methods.
  • Keywords
    cloud computing; cryptography; data privacy; storage management; BC; BS; bit combination; bit split; cloud computing; data privacy protection; decryption methods; encryption methods; multiple cloud storages; storage technologies; Cloud computing; Data privacy; Encryption; Privacy; Servers; cloud computing; cloud storage; data security; privacy protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
  • Conference_Location
    Shengyang
  • Print_ISBN
    978-1-4799-2564-3
  • Type

    conf

  • DOI
    10.1109/MEC.2013.6885340
  • Filename
    6885340