A Cloud based Two Layered Access Control with Decentralized Anonymous Authentication in Health Care

2018 ◽  
Author(s):  
R. Raghul Vaikundam ◽  
D. Sangeetha ◽  
V. Vaidehi ◽  
R. Srinandhakumar ◽  
V. Subhash Ignatius
Keyword(s):  
Health Care ◽  
Access Control ◽  
Anonymous Authentication

scholarly journals Secure Exchange of Electronic Health Records

2012 ◽  
pp. 1403-1424
Author(s):  
Alejandro Enrique Flores ◽  
Khin Than Win ◽  
Willy Susilo
Keyword(s):  
Health Care ◽  
Access Control ◽  
Electronic Health Records ◽  
Shared Care ◽  
Health Records ◽  
Discretionary Access Control ◽  
Attribute Based Encryption ◽  
Electronic Health ◽  
Role Based ◽  
Traditional Approaches

Protecting the confidentiality of a patient’s information in a shared care environment could become a complex task. Correct identification of users, assigning of access permissions, and resolution of conflict rise as main points of interest in providing solutions for data exchange among health care providers. Traditional approaches such as Mandatory Access Control, Discretionary Access control and Role-Based Access Control policies do not always provide a suitable solution for health care settings, especially for shared care environments. The core of this contribution consists in the description of an approach which uses attribute-based encryption to protect the confidentiality of patients’ information during the exchange of electronic health records among healthcare providers. Attribute-based encryption allows the reinforcing of access policies and reduces the risk of unauthorized access to sensitive information; it also provides a set of functionalities which are described using a case study. Attribute-based encryption provides an answer to restrictions presented by traditional approaches and facilitate the reinforcing of existing security policies over the transmitted data.

Authorization Service for Web Services and its Application in a Health Care Domain

2008 ◽  
pp. 2865-2891
Author(s):  
Sarath Indrakanti ◽  
Vijay Varadharajan ◽  
Michael Hitchens
Keyword(s):  
Health Care ◽  
Web Services ◽  
Access Control ◽  
Health Care System ◽  
Design Issues ◽  
Policy Language ◽  
Control Language ◽  
Authorization Model ◽  
Authorization Policy ◽  
Authorization Policies

In this paper, we discuss the design issues for an authorization framework for Web Services. In particular, we describe the features required for an authorization policy language for Web Services. We briefly introduce the authorization service provided by Microsoft .NET MyServices and describe our extended authorization model that proposes extensions to the .NET MyServices authorization service to support a range of authorization policies required in commercial systems. We discuss the application of the extended authorization model to a health care system built using Web Services. We use the XML Access Control Language (XACL) in our implementation to demonstrate our extended authorization model. This also enables us to evaluate the range of authorization policies that XACL supports.

scholarly journals A Survey on Securing and Optimizing Health Care Bigdata

2018 ◽  
Vol 7 (4.10) ◽  
pp. 504
Author(s):  
K. Kavitha ◽  
D. Anuradha ◽  
P. Pandian
Keyword(s):  
Health Care ◽  
Big Data ◽  
Access Control ◽  
Mathematical Optimization ◽  
Optimization Techniques ◽  
Role Based Access Control ◽  
Attribute Based Access Control ◽  
Optimization And Simulation ◽  
Role Based ◽  
The Cost

Huge amount of health care data are available online to improve the overall performance of health care system. Since this huge health care Big-data is valuable and sensitive, it requires safety. In this paper we analyze numerous ways in which the health care Big-data can be protected. In recent days many augmented security algorithm that are suitable for Big-data have emerged like, El-Gamal, Triple-DES, and Homomorphic algorithms. Also authentication and access control can be implemented over Big-data using Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) schemes.Along with security to Big-data we try to evolve the ways in which the valuable Big-data can be optimized to improve the Big-data analysis. Mathematical optimization techniques such as simple and multi-purpose optimization and simulation are employed in Big-data to maximize the patient satisfaction and usage of doctor’s consulting facility. And also, to minimize the cost spent by patient and energy wasted.  

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