IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v8y2022i6idhcseit22864.html

Attribute-Based Encryption Schemes for Users and Cloud Server in Green Cloud Computing : Cost-Efficient Outsourced Decryption

Author

Listed:
  • G. Kalyan Kumar
  • A. Murali Mohan Kumar

Abstract

The green cloud networks assist in lowering user costs by lowering the cost of decryption and preventing the leak of private information. However, this approach is ineffective for cloud servers in green cloud networks. In order to lower the overall overhead of the cloud server, we have suggested account recyclable usage of resources. This is a novel and secure solution. Another strategy we've suggested in our schemes is outsourcing the attribute-based encryption (ABE) scheme's decryption to a cloud server. However, the cloud server must repeatedly perform the same ciphertext decryption for various users who adhere to the same access policy. Therefore, in contrast to the current ABE-OD methods, our cloud server's overall overhead is unaffected by the number of users that comply with an access policy and request the outsourcing decryption service. Finally, we expand our strategy to an ABE-OD scheme that is RCCA secure.

Suggested Citation

  • G. Kalyan Kumar & A. Murali Mohan Kumar, 2022. "Attribute-Based Encryption Schemes for Users and Cloud Server in Green Cloud Computing : Cost-Efficient Outsourced Decryption," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 8(6), pages 82-89, December.
  • Handle: RePEc:jbh:ijsrcs:v8:y2022:i6:id:hcseit22864
    Note: Article URL: https://ijsrcseit.com/CSEIT22864
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT22864
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT22864.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:jbh:ijsrcs:v8:y2022:i6:id:hcseit22864. 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://ijsrcseit.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.