Cryptology ePrint Archive: Report 2018/1058

Ciphertext-Policy Attribute-Based Encrypted Data Equality Test and Classification

Yuzhao Cui and Qiong Huang and Jianye Huang and Hongbo Li and Guomin Yang

Abstract: Thanks to the ease of access and low expenses, it is now popular for people to store data in cloud servers. To protect sensitive data from being leaked to the outside, people usually encrypt the data in the cloud. However, management of these encrypted data becomes a challenging problem, e.g. data classification. Besides, how to selectively share data with other users is also an important and interesting problem in cloud storage. In this paper, we focus on ciphertext-policy attribute based encryption with equality test (CP-ABEET). People can use CP-ABEET to implement not only flexible authorization for the access to encrypted data, but also efficient data label classification, i.e. test of whether two encrypted data contain the same message. We construct an efficient CP-ABEET scheme, and prove its security based on a reasonable number-theoretic assumption. Compared with the only existing CP-ABEET scheme, our construction is more efficient in key generation, and has shorter attribute-related secret keys and better security.

Category / Keywords: Attribute-Based Encryption, Authorization, Classification, Equality Test, Public Key Encryption

Date: received 30 Oct 2018, last revised 1 Nov 2018

Contact author: yuzhaoc at stu scau edu cn

Available format(s): PDF | BibTeX Citation

Note: This revise makes sure that there is an "and" between the author names. Thanks for your reading.

Version: 20181102:180231 (All versions of this report)

Short URL: ia.cr/2018/1058


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