IDEAS home Printed from https://ideas.repec.org/a/igg/jisss0/v13y2021i2p1-12.html
   My bibliography  Save this article

A Continuous Sampling Method for Batch Data Auditing in Cloud Storage

Author

Listed:
  • Esther Daniel

    (Karunya Institute of Technology and Sciences, India)

  • Durga S.

    (Karunya Institute of Technology and Sciences, India)

  • Vijila M.

    (Karunya Institute of Technology and Sciences, India)

Abstract

Cloud storage offers online storage services to back up data and enables easy access to real-time data at any time and on the fly. The primary issue of security arises as the data is outsourced to remote servers that cause data loss and modifications to occur. Data corruptions or misbehaviours in the cloud service providers (CSP) have to be detected at low cost and promptly. The data outsourced to CSP by the data owners might suffer from cloud service provider misbehaviour, in particular unauthorized deletion of data by CSP to save storage space towards attracting potential clients. Adapting continuous sampling of random blocks as batches reduce the computation workload on the servers, thus detecting the modifications or corruptions if any without time delays. The corrupted data blocks are located with continuous sampling methods and the probability of detection is high.

Suggested Citation

  • Esther Daniel & Durga S. & Vijila M., 2021. "A Continuous Sampling Method for Batch Data Auditing in Cloud Storage," International Journal of Information Systems in the Service Sector (IJISSS), IGI Global, vol. 13(2), pages 1-12, April.
    • Handle: RePEc:igg:jisss0:v:13:y:2021:i:2:p:1-12
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISSS.2021040101
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jisss0:v:13:y:2021:i:2:p:1-12. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.