Literature DB >> 27653042

Fine-grained Database Field Search Using Attribute-Based Encryption for E-Healthcare Clouds.

Cheng Guo1,2, Ruhan Zhuang1,2, Yingmo Jie1,2, Yizhi Ren3,4, Ting Wu5, Kim-Kwang Raymond Choo6,7,8.   

Abstract

An effectively designed e-healthcare system can significantly enhance the quality of access and experience of healthcare users, including facilitating medical and healthcare providers in ensuring a smooth delivery of services. Ensuring the security of patients' electronic health records (EHRs) in the e-healthcare system is an active research area. EHRs may be outsourced to a third-party, such as a community healthcare cloud service provider for storage due to cost-saving measures. Generally, encrypting the EHRs when they are stored in the system (i.e. data-at-rest) or prior to outsourcing the data is used to ensure data confidentiality. Searchable encryption (SE) scheme is a promising technique that can ensure the protection of private information without compromising on performance. In this paper, we propose a novel framework for controlling access to EHRs stored in semi-trusted cloud servers (e.g. a private cloud or a community cloud). To achieve fine-grained access control for EHRs, we leverage the ciphertext-policy attribute-based encryption (CP-ABE) technique to encrypt tables published by hospitals, including patients' EHRs, and the table is stored in the database with the primary key being the patient's unique identity. Our framework can enable different users with different privileges to search on different database fields. Differ from previous attempts to secure outsourcing of data, we emphasize the control of the searches of the fields within the database. We demonstrate the utility of the scheme by evaluating the scheme using datasets from the University of California, Irvine.

Entities:  

Keywords:  Access control; Ciphertext-policy attribute-based encryption; Cloud computing; E-healthcare; Searchable encryption

Mesh:

Year:  2016        PMID: 27653042     DOI: 10.1007/s10916-016-0588-0

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  3 in total

1.  Secure Sharing of mHealth Data Streams through Cryptographically-Enforced Access Control.

Authors:  Emily Greene; Patrick Proctor; David Kotz
Journal:  Smart Health (Amst)       Date:  2018-04-17

2.  Granular Data Access Control with a Patient-Centric Policy Update for Healthcare.

Authors:  Fawad Khan; Saad Khan; Shahzaib Tahir; Jawad Ahmad; Hasan Tahir; Syed Aziz Shah
Journal:  Sensors (Basel)       Date:  2021-05-20       Impact factor: 3.576

3.  Searchable and revocable multi-data owner attribute-based encryption scheme with hidden policy in cloud storage.

Authors:  Shangping Wang; Tingting Gao; Yaling Zhang
Journal:  PLoS One       Date:  2018-11-01       Impact factor: 3.240

  3 in total

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