IDEAS home Printed from https://ideas.repec.org/a/ijs/ijsrse/v2y2016i2idhijsrset1622152.html

Constraint Based Automatic Destruction of Data in Cloud Computing

Author

Listed:
  • S. Praveena
  • B. Preyankha
  • V. Sivaranjani
  • B. Hema

Abstract

Cloud computing is defined as a type of computing that relies on sharing computing resources rather than having local servers or personal devices to handle applications. Any discussion involving data must address security and privacy, especially when it comes to managing sensitive data. After the recent leaks of countless millions of user login credentials, the privacy of your cloud-based data is another consideration. In order to tackle this problem, we propose a novel secure data self-destructing scheme in cloud computing. We create three way self-distraction schemes to secure the data using AES/DES Double Encryption Algorithm to secure the data. By using this, sensitive data will be securely self-destructed after a user-specified expiration time. Secondly, user can access the data only one time from the cloud. At last, if the user enters the incorrect key three times, the data will be self-distracted. Comprehensive comparisons of the security properties indicate that this scheme proposed by us satisfies the security requirements and is superior to other existing schemes.

Suggested Citation

  • S. Praveena & B. Preyankha & V. Sivaranjani & B. Hema, 2016. "Constraint Based Automatic Destruction of Data in Cloud Computing," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 2(2), pages 509-513, December.
  • Handle: RePEc:ijs:ijsrse:v2:y2016:i2:id:hijsrset1622152
    Note: Article URL: https://ijsrset.com/IJSRSET1622152
    as

    Download full text from publisher

    File URL: https://ijsrset.com/IJSRSET1622152
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrset.com/paper/993.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ijs:ijsrse:v2:y2016:i2:id:hijsrset1622152. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (email available below). General contact details of provider: https://ijsrset.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.