Large Universe Ciphertext-Policy Attribute-Based Encryption with Attribute Level User Revocation in

Large Universe Ciphertext-Policy Attribute-Based Encryption with Attribute Level User Revocation in Cloud Storage

Huijie Lian1, Qingxian Wang2, and Guangbo Wang1

1Zhengzhou Information Science and Technology Institute, Zhengzhou

231008 army, Beijing

Abstract: Ciphertext-Policy Attribute-Based Encryption (CP-ABE), especially large universe CP-ABE that is not bounded with the attribute set, is getting more and more extensive application in the cloud storage. However, there exists an important challenge in original large universe CP-ABE, namely dynamic user and attribute revocation. In this paper, we propose a large universe CP-ABE with efficient attribute level user revocation, namely the revocation to an attribute of some user cannot influence the common access of other legitimate attributes. To achieve the revocation, we divide the master key into two parts: delegation key and secret key, which are sent to the cloud provider and user separately. Note that, our scheme is proved selectively secure in the standard model under "q-type" assumption. Finally, the performance analysis and experimental verification have been carried out in this paper, and the experimental results show that, compared with the existing revocation schemes, although our scheme increases the computational load of storage Service Provider (CSP) in order to achieve the attribute revocation, it does not need the participation of Attribute Authority (AA), which reduces the computational load of AA. Moreover, the user does not need any additional parameters to achieve the attribute revocation except of the private key, thus saving the storage space greatly.

Keywords: Ciphertext-policy attribute-based encryption, outsourced decryption, large universe, attribute level user revocation.

Received February 12, 2017; accepted May 10, 2017

https://doi.org/10.34028/iajit/17/1/13

Full text   
Read 1269 times Last modified on Thursday, 26 December 2019 07:06
Share
Top
We use cookies to improve our website. By continuing to use this website, you are giving consent to cookies being used. More details…