IDEAS home Printed from https://ideas.repec.org/a/igg/jkss00/v11y2020i4p65-81.html
   My bibliography  Save this article

Optimal Elliptic Curve Cryptography-Based Effective Approach for Secure Data Storage in Clouds

Author

Listed:
  • Anju Malik

    (Uttarakhand Technical University, India)

  • Mayank Aggarwal

    (Gurukul Kangri Vishwavidalaya, India)

  • Bharti Sharma

    (DIT University, India)

  • Akansha Singh

    (Department of CSE, ASET, Amity University, Noida, India)

  • Krishna Kant Singh

    (Department of ECE, KIET Group of Institutions, Ghaziabad, India)

Abstract

With the rapid development of cloud advancement, a data security challenge has emerged. In this paper, a technique based on elliptical cryptography and cuckoo search algorithm is proposed. With this technique, data owners securely store their data files in the cloud server. Initially the user sends a file storage request to store a file in a cloud server provider (CSP). The input file is checked whether it is sensitive or non-sensitive by the user. If the file is sensitive, then it would be split and stored in different virtual machines (VMs), and if the file is non-sensitive, then it would be assigned in a single VM. This approach was used for the first time as per the survey. To add further security, the sensitive data retrieval needs an encryption process that is supported by the proposed algorithm. If the data owner stores the sensitive data to cloud server, the data owner's document is encrypted by the double encryption technique. Here RSA and optimal elliptic curve cryptography (OECC) algorithm is used to encrypt the document with high security. The authors have used cuckoo search algorithm to identify the optimal key in ECC. This paper has proposed a novel cryptography approach for delivering mass distributed storage by which user's original data cannot be directly reached by cloud operators. Hence, this research has proved that the proposed work will give better securable data storage solving the security issues.

Suggested Citation

  • Anju Malik & Mayank Aggarwal & Bharti Sharma & Akansha Singh & Krishna Kant Singh, 2020. "Optimal Elliptic Curve Cryptography-Based Effective Approach for Secure Data Storage in Clouds," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 11(4), pages 65-81, October.
  • Handle: RePEc:igg:jkss00:v:11:y:2020:i:4:p:65-81
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJKSS.2020100105
    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:jkss00:v:11:y:2020:i:4:p:65-81. 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.