A fine-grained context-aware access control model for health care and life science linked data

2016 ◽  
Vol 75 (22) ◽  
pp. 14263-14280
Author(s):  
Zhengtao Liu ◽  
Jiandong Wang
Keyword(s):  
Health Care ◽  
Access Control ◽  
Linked Data ◽  
Life Science ◽  
Control Model ◽  
Context Aware ◽  
Access Control Model ◽  
Fine Grained

Context-Aware Access Control Model for Privacy Support in Mobile-Based Assisted Living

2015 ◽  
Vol 24 (3) ◽  
pp. 333-342 ◽  
Author(s):  
Alexander Smirnov ◽  
Alexey Kashevnik ◽  
Nikolay Shilov ◽  
Nikolay Teslya
Keyword(s):  
Health Care ◽  
Access Control ◽  
New Technologies ◽  
Personal Information ◽  
Control Model ◽  
Average Lifetime ◽  
Context Aware ◽  
Space Technology ◽  
Smart Space ◽  
Access Control Model

AbstractThe average lifetime of people in advanced countries is significantly increased in the XXI century. The number of old and dependent people is rising due many innovations in health care: new technologies, medicine, and a lot of innovative devices that allow people to monitor their health and consult with a doctor in case of problems. In the last years, a number of information systems have been developed in the health-care area to assist people in living. Modern systems increase their mobility by using personal mobile devices that allows them to interact with the system at any point of time. Smart space is a technology that allows developing such systems. It is an aggregation of devices that can share their resources (information and services) and cooperate with each other. Sharing personal information between different devices requires ensuring privacy support. For these purposes, a dynamic access control support for information that is shared by devices is needed. In particular, a new access control model for accessing resources is needed. The model should describe the current situation via a context. This paper proposes a model of the context-aware access control for smart systems based on smart space technology.

A Fine-Grained Access Control Model for Smart Grid

2014 ◽  
Vol 513-517 ◽  
pp. 772-776
Author(s):  
Chen Wang ◽  
Hong Ai ◽  
Lie Wu ◽  
Yun Yang
Keyword(s):  
Access Control ◽  
Smart Grid ◽  
Power Systems ◽  
Communication Networks ◽  
High Speed ◽  
Data Communication ◽  
Control Model ◽  
Electric Power System ◽  
Access Control Model ◽  
Fine Grained

The smart grid that the next-generation electric power system is studied intensively as a promising solution for energy crisis. One important feature of the smart grid is the integration of high-speed, reliable and secure data communication networks to manage the complex power systems effectively and intelligently. The goal of smart grid is to achieve the security of operation, economic efficient and environmental friendly. To achieve this goal, we proposed a fine-grained access control model for smart grid. In order to improve the security of smart grid, an access-trust-degree algorithm is proposed to evaluate the reliability of the user who want to access to the smart grid.

scholarly journals Privacy-aware relationship semantics–based XACML access control model for electronic health records in hybrid cloud

2019 ◽  
Vol 15 (6) ◽  
pp. 155014771984605 ◽  
Author(s):  
Tehsin Kanwal ◽  
Ather Abdul Jabbar ◽  
Adeel Anjum ◽  
Saif UR Malik ◽  
Abid Khan ◽  
...  
Keyword(s):  
Access Control ◽  
Electronic Health Records ◽  
Cloud Service ◽  
Control Model ◽  
Hybrid Cloud ◽  
Access Control Model ◽  
Health Records ◽  
Fine Grained ◽  
Electronic Health ◽  
Records Access

State-of-the-art progress in cloud computing encouraged the healthcare organizations to outsource the management of electronic health records to cloud service providers using hybrid cloud. A hybrid cloud is an infrastructure consisting of a private cloud (managed by the organization) and a public cloud (managed by the cloud service provider). The use of hybrid cloud enables electronic health records to be exchanged between medical institutions and supports multipurpose usage of electronic health records. Along with the benefits, cloud-based electronic health records also raise the problems of security and privacy specifically in terms of electronic health records access. A comprehensive and exploratory analysis of privacy-preserving solutions revealed that most current systems do not support fine-grained access control or consider additional factors such as privacy preservation and relationship semantics. In this article, we investigated the need of a privacy-aware fine-grained access control model for the hybrid cloud. We propose a privacy-aware relationship semantics–based XACML access control model that performs hybrid relationship and attribute-based access control using extensible access control markup language. The proposed approach supports fine-grained relation-based access control with state-of-the-art privacy mechanism named Anatomy for enhanced multipurpose electronic health records usage. The proposed (privacy-aware relationship semantics–based XACML access control model) model provides and maintains an efficient privacy versus utility trade-off. We formally verify the proposed model (privacy-aware relationship semantics–based XACML access control model) and implemented to check its effectiveness in terms of privacy-aware electronic health records access and multipurpose utilization. Experimental results show that in the proposed (privacy-aware relationship semantics–based XACML access control model) model, access policies based on relationships and electronic health records anonymization can perform well in terms of access policy response time and space storage.

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