Modelling a Policy Role Based Access Control Mechanism for Task Delegation in a Nomadic Environment

Authors

  • Osaremwinda Omorogiuwa Department of Computer Science & Information Technology Igbinedion University, PMB 001, Okada, Edo State, Nigeria
  • Stella Chinyere Chiemeke Department of Computer Science, University of Benin, Benin City, Nigeria

Keywords:

Nomadic Environment, Policy Based RBAC, Algorithms, Tasks, Delegation, Mathematical Modelling.

Abstract

Nomadic environments are governed by standard principles and lay down rules that should be followed to enable it meet set aim and objectives.  More recently, nomadic environments have virtually employed the use of Role Based Access Control (RBAC) Mechanisms to proffer access control solutions to role assignments which ordinarily would have be accomplished manually. In modelling systems for users in a nomadic environment, most RBAC mechanisms does not effectively consider the security lapses related to human to human task delegation. To avert this lapses, during system modelling and design, there is the need for software developers to consciously put into consideration the inclusion of organizational policy rules guiding role assignment and task delegation in a secured manner.   Failure to do so, may create usability and security issues resulting from a delegatee abusing his privileges in performing other tasks of the delegator. This paper is therefore aimed at using mathematical and algorithmic methods to model a policy based approach in implementing the Role Based Access Control mechanism for users in a nomadic environment. With this approach, task delegation can be implemented in a usable and secured manner.

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Published

2018-04-26

How to Cite

Omorogiuwa, O., & Chiemeke, S. C. (2018). Modelling a Policy Role Based Access Control Mechanism for Task Delegation in a Nomadic Environment. International Journal of Computer (IJC), 29(1), 119–131. Retrieved from https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/1188

Issue

Vol. 29 No. 1 (2018)

Section

Articles

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