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A secure and efficient outsourced computation on data sharing scheme for privacy computing
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DOI：10.1016/j.jpdc.2019.09.008.png)
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With the development of computer technology, it makes malicious users more easily get data stored in cloud. However, these data are always related to users' privacy, and it is harmful when the data are acquired by attackers. Ciphertext-policy attribute-based encryption (CP-ABE) is suitable to achieve privacy and security in cloud. In this paper, we put forward a secure and efficient outsourced computation algorithm on data sharing scheme for privacy computing. Existing schemes only outsource decryption computation to the cloud, users still have heavy burden in encryption. In order to reduce the computing burden of users, most encryption and decryption computations are outsourced to the cloud service provider in our construction. At the same time, to apply in practice, we propose efficient user and attribute revocation. Finally, the security analysis and simulation results show that our scheme is secure and efficient compared with existing schemes. (C) 2019 Elsevier Inc. All rights reserved.
Keyword:
Privacy computing
Outsourced computation
CP-ABE
Revocation
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