Efficient Fine-Grained Access Control for Secure Personal Health Records in Cloud Computing

2016 ◽  
pp. 65-79 ◽  
Author(s):  
Kai He ◽  
Jian Weng ◽  
Joseph K. Liu ◽  
Wanlei Zhou ◽  
Jia-Nan Liu
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records ◽  
Fine Grained

Unified Fine-Grained Access Control for Personal Health Records in Cloud Computing

2019 ◽  
Vol 23 (3) ◽  
pp. 1278-1289 ◽  
Author(s):  
Wei Li ◽  
Bonnie M. Liu ◽  
Dongxi Liu ◽  
Ren Ping Liu ◽  
Peishun Wang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records ◽  
Fine Grained

scholarly journals A searchable personal health records framework with fine-grained access control in cloud-fog computing

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0207543 ◽  
Author(s):  
Jin Sun ◽  
Xiaojing Wang ◽  
Shangping Wang ◽  
Lili Ren
Keyword(s):  
Access Control ◽  
Fog Computing ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records ◽  
Fine Grained

scholarly journals Role-Attribute-Based Encryption (RABE) Access Control for Healthcare Cloud Systems

2016 ◽  
Vol 15 (8) ◽  
pp. 6999-7007
Author(s):  
Paolina Centonze
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Personal Health Records ◽  
Cloud Services ◽  
Personal Health ◽  
Health Records ◽  
Cloud Systems ◽  
Access Control Models ◽  
Control Models ◽  
Attribute Based Encryption

In the medical industry, it is critical to ensure the confidentiality of patients’ personal health records when storing and managing them. Before cloud computing surfaced, heath providers used local servers and hard drives to store their records and data. As cloud computing has been becoming more prominent many healthcare providers are using the cloud to store and manage their sensitive data. This journal compares and investigates two different access control models, in particular Role-Based Access Control and Attribute-Based Access Control, to validate the confidentiality of data when storing and managing personal health records on cloud services. The comparative analysis of these access control models is done to identify possible inefficiency and privacy restrictions in these two access control based models. In addition, in this journal we propose a new access control model, which we refer to as Role-Attribute-Based-Encryption Access Control (RABE), by combining some of the best aspects of both RBAC and ABAC in order to improve data privacy on cloud systems used in healthcare.

scholarly journals Attribute Set-Based Boolean Keyword Search over Encrypted Personal Health Records

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Yu Lin ◽  
Lingling Xu ◽  
Wanhua Li ◽  
Zhiwei Sun
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Large Scale ◽  
Keyword Search ◽  
Personal Health Record ◽  
High Sensitivity ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records ◽  
Cloud Servers

A personal health record (PHR) is an electronic application which enables patients to collect and share their health information. With the development of cloud computing, many PHR services have been outsourced to cloud servers. Cloud computing makes it easier for patients to manage their personal health records and makes it easier for doctors and researchers to share and access this information. However, due to the high sensitivity of PHR, a series of security protections are needed to protect them, such as encryption and access control. In this article, we propose an attribute set-based Boolean keyword search scheme, which can realize fine-grained access control and Boolean keyword search over encrypted PHR. Compared with the existing attribute-based searchable encryption, our solution can not only improve the flexibility in specifying access policies but also perform Boolean keyword search, which can meet the needs of large-scale PHR users. Furthermore, we simulate our scheme, and the experimental results show that our scheme is practical for PHR systems in cloud computing.

Personal health records sharing scheme based on attribute based signcryption with data integrity verifiable

2021 ◽  
pp. 1-34
Author(s):  
Isaac Amankona Obiri ◽  
Qi Xia ◽  
Hu Xia ◽  
Eric Affum ◽  
Smahi Abla ◽  
...  
Keyword(s):  
Access Control ◽  
Keyword Search ◽  
Data Integrity ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records ◽  
Fine Grained ◽  
Sharing Scheme ◽  
Query Result ◽  
Cloud Server

The distribution of personal health records (PHRs) via a cloud server is a promising platform as it reduces the cost of data maintenance. Nevertheless, the cloud server is semi-trusted and can expose the patients’ PHRs to unauthorized third parties for financial gains or compromise the query result. Therefore, ensuring the integrity of the query results and privacy of PHRs as well as realizing fine-grained access control are critical key issues when PHRs are shared via cloud computing. Hence, we propose new personal health records sharing scheme with verifiable data integrity based on B+ tree data structure and attribute-based signcryption scheme to achieve data privacy, query result integrity, unforgeability, blind keyword search, and fine-grained access control.

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