Proposal for a Secure Data Sharing and Processing in Cloud Applications for Healthcare Domain
Journal Title: International Journal of Information Technology and Applied Sciences (IJITAS) - Year 2021, Vol 3, Issue 1
Abstract
Information Technology (IT) services have become an inherent component in almost all sectors. Similarly, the health sector has been recently integrating IT to meet the growing demand for medical data exchange and storage. Currently, cloud has become a real hosting alternative for traditional on-permise software. In this model, not only do health organizations have access to a wide range of services but most importantly they are charged based on the usage of these cloud applications. However, especially in the healthcare domain, cloud computing deems challenging as to the sensitivity of health data. This work aims at improving access to medical data and securely sharing them across healthcare professionals, allowing real-time collaboration. From these perspectives, they propose a hybrid cryptosystem based on AES and Paillier to prevent the disclosure of confidential data, as well as computing encrypted data. Unlike most other solutions, the proposed framework adopts a proxy-based architecture to tackle some issues regarding privacy concerns and access control. Subsequently, this system typically guarantees that only authorized users can view or use specific resources in a computing environment. To this aim, they use eXtensible Access Control Markup Language (XACML) standard to properly design and manage access control policies. In this study, they opt for the (Abbreviated Language for Authorization) ALFA tool to easily formulate XACML policies and define complex rules. The simulation results show that the proposal offers simple and efficient mechanisms for the secure use of cloud services within the healthcare domain. Consequently, this framework is an appropriate method to support collaboration among all entities involved in medical information exchange.
Authors and Affiliations
Mbarek Marwan Ali Karti Hassan Ouahmane
Keywords
Related Articles
- EP ID EP694269
- DOI https://doi.org/10.52502/ijitas.v3i1.15
- Views 180
- Downloads 0
An algorithm to calculates an allocation maximizing the leximin order on the utility profiles of the agents
Allocating a limited set of resources equitably and efficiently to agents each with their own preferences is a general problem of considerable significance. Many examples of this problem are commonly found, among which w...
Machine Learning confronted with the operational constraints of detection systems
Intrusion detection systems, traditionally based on signatures, have not escaped the recent appeal of machine learning techniques. While the results presented in academic research articles are often excellent, security e...
A constraint programming algorithm for finding leximin-optimal allocations
In the context of constraint programming, we propose an algorithm solving the following problem: allocate in an equitable and efficient way a finite set of objects to agents each having their own utilities, under admissi...
Localized Farmer’s Information Dissemination System in Nigeria Using Mobile Networks
Agricultural science performs a substantial function in monetary and societal growth in nearly all developing nations. Data on satisfactory excellence is an indispensable criterion for the development of all fields of fa...
Object detection and object classification using machine learning Algorithms
Urban objects are characterized by a very variable representation in terms of shape, texture and color. In addition, they are present multiple times on the images to be analyzed and can be stuck to each other. To carry o...