• DocumentCode
    2156562
  • Title

    EMPPC-an evolutionary model based privacy preserving technique for cloud digital data storage

  • Author

    Chandramohan, D. ; Vengattaraman, T. ; Rajaguru, D. ; Baskaran, R. ; Dhavachelvan, P.

  • Author_Institution
    Dept. of Comput. Sci., Pondicherry Univ., Pondicherry, India
  • fYear
    2013
  • fDate
    22-23 Feb. 2013
  • Firstpage
    89
  • Lastpage
    95
  • Abstract
    This paper spank out the enormity of unknown users hand on web service users´ and their data protection level bump up as an issue in cloud users mind. Once hiring a data space in cloud it´s the responsibility of both to accustomed the stored information´s privacy and preserving it in a secret way. It is noticed by the academicians and researchers oodles and masses of privacy breaches relentlessly observable fact dealt globally. It is one of the hottest research topics. This work targets data privacy and its preservation by proposing an evolutionary approach to safeguard the confidential data stored in the cloud. It also focuses on prominent study of users´ privacy need and to preserve data distorted from intermediate digital data thieves.
  • Keywords
    cloud computing; data privacy; evolutionary computation; storage management; EMPPC technique; Web service; cloud digital data storage; cloud user; data privacy; data protection level; evolutionary model; information privacy; intermediate digital data thieves; privacy preserving technique; Authentication; Cloud computing; Computational modeling; Data models; Data privacy; Privacy; Cloud Computing; Digital Data Center; Digital Data Intensity; Evaluationary Computing; Privacy; Privacy Prevention System; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2013 IEEE 3rd International
  • Conference_Location
    Ghaziabad
  • Print_ISBN
    978-1-4673-4527-9
  • Type

    conf

  • DOI
    10.1109/IAdCC.2013.6514200
  • Filename
    6514200