A Comparative Study to the Semantics of Ontology Chain-Based Data Access Control versus Conventional Methods in Healthcare Applications

Esraa Omran,David Nelson,Ali M Roumani

doi:10.5539/cis.v10n4p1

Abstract

The necessity of having intelligent methodology to access databases in networks has become more apparent in the age of distributed networks. Using semantics and ontologies can be highly helpful in developing such methodologies, as they provide the required classifications and mined information. The necessities that are required by the database administrator to build durable, reliable, and flexible data access methodology have been highly appreciated. This study that compares between the proposed system and conventional methods, for example Role Based Access Control (RBAC) and classical chain-based methods. The comparison is done using applications in the healthcare sector. This study is based on real surveys that have been conducted in an active hospital in the State of Kuwait.

Highlights

There are various techniques that have been planned for maintaining confidentiality in the literature
After observing the skill of the Chain Ontology Based System (O-Chain-Based Access Control (ChBAC)) in order to complete necessary functions related to the different tasks of the Admin, the investigator requested the three admins to do the following actions using the three systems as follows:
3.3 Results Related to Database Administrator Feedback

Summary

Introduction

There are various techniques that have been planned for maintaining confidentiality in the literature These techniques vary from simple rules specifications, such as those provided in the Platform for Privacy Preferences or P3P (W3C, 2009) to very complicated methodology, such as Hippocratic Database or HDB (Grandison et al, 2008; Byun et al, 2005; Agrawal et al, 2002). Both techniques have proved to suffer deficiencies as it is not enough to set the rules as specified in P3P and to be able to enforce them technically. The RBAC model can work efficiently in some areas

Methods

Results

Conclusion