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

Authors

  • G. Kalyan Kumar  Assistant. Professor, Mother Theresa Institute of Computer Applications, Palamaner, S. V. University, Andhra Pradesh, India
  • A. Murali Mohan Kumar  Mother Theresa Institute of Computer Applications, Palamaner, S. V. University, Andhra Pradesh, India

Keywords:

Attribute-Based Encryption, Outsourced Decryption, Bilinear Maps, Green Cloud Computing

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2022-12-30

Issue

Volume 8, Issue 6, November-December-2022

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
G. Kalyan Kumar, A. Murali Mohan Kumar, " 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(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 6, pp.82-89, November-December-2022.