Publication Type

Journal Article

Version

Publisher’s Version

Publication Date

12-2016

Abstract

With the development of cloud computing, more and more sensitive data are uploaded to cloud by companies or individuals, which brings forth new challenges for outsourced data security and privacy. Ciphertext-policy attribute-based encryption (CP-ABE) provides fine-grained access control of encrypted data in the cloud; in a CP-ABE scheme, an access structure, also referred to as ciphertext-policy, is sent along with a ciphertext explicitly, and anyone who obtains a ciphertext can know the access structure associated with the ciphertext. In certain applications, access structures contain very sensitive information and must be protected from everyone except the users whose private key attributes satisfy the access structures. In this paper, we propose a new model for CP-ABE with partially hidden access structure (See Figure 2). In our model, each attribute consists of two parts: an attribute name and its value; if the private key attributes of a user do not satisfy the access structure associated with a ciphertext, the specific attribute values of the access structure are hidden, while other information about the access structure is public. Based on the CP-ABE scheme proposed by Lewko and Waters recently, we then present a concrete construction of CP-ABE with partially hidden access structure and prove that it is fully secure in the standard model. In addition, we discuss how our new model can be employed to construct a privacy-preserving electronic medical record system in the cloud environment.

Keywords

Ciphertext-policy, Cloud computing, Hidden access structure, Privacy-preserving electronic medical record

Discipline

Information Security | Medicine and Health Sciences

Research Areas

Cybersecurity

Publication

Security and Communication Networks

Volume

9

Issue

18

First Page

4897

Last Page

4913

ISSN

1939-0122

Identifier

10.1002/sec.1663

Publisher

John Wiley & Sons, Ltd.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

https://doi.org./10.1002/sec.1663

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