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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
Saturday 23 November 2024

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Cipher Text Attribute Based Encrypted Data Sharing With Escrow in Cloud Computing


Volume 30, Issue 3, May 2017, Pages 389–394

 Cipher Text Attribute Based Encrypted Data Sharing With Escrow in Cloud Computing

N. Jayapriya1, V. Maheswari2, M. Moovarasi3, and G. Shanthi4

1 Department of Computer science and engineering, SKP Engineering College, Thiruvannamalai, India
2 Department of Computer science and engineering, SKP Engineering College, Thiruvannamalai, India
3 Department of Computer science and engineering, SKP Engineering College, Thiruvannamalai, India
4 Department of Computer science and engineering, SKP Engineering College, Thiruvannamalai, India

Original language: English

Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


Attribute-based encryption (ABE) is a very promising scheme suitable for access control in cloud storage system. It proposes a hierarchical attribute based access control scheme with constant size cipher text. This scheme is efficient because the length of cipher text and the number of bilinear pairing evaluations through a constant are fixed. By using this, prevent KA and CSP from knowing each other’s master secret key so that none of them can create the whole secret keys of users individually thus, the fully trusted KA can be semi-trusted. This scheme is implement in cloud for ensuring privacy and uphold security through upload and download file.

Author Keywords: KA – key authority, Attribute-based encryption, remove escrow, Weighted power.


How to Cite this Article


N. Jayapriya, V. Maheswari, M. Moovarasi, and G. Shanthi, “Cipher Text Attribute Based Encrypted Data Sharing With Escrow in Cloud Computing,” International Journal of Innovation and Scientific Research, vol. 30, no. 3, pp. 389–394, May 2017.