Conflict detection in role-based access control using multiple-attractor cellular automata

Authors:
Jun-Cheol Jeon;Kee-Young Yoo
Affiliations:
Department of Computer Engineering, Kyungpook National University, Daegu, Korea;Department of Computer Engineering, Kyungpook National University, Daegu, Korea
Venue:
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Year:
2006

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Abstract

Cellular automata (CA) have been accepted as a good evolutionary computational model for the simulation of complex physical systems. Meanwhile delegation of role is necessary for scalability of general computing environments. However, this practical principle can lead to conflicts at compile time and run time. Thus, we propose a policy for Separation of Duty (SoD) in Role-based Access Control (RBAC), and demonstrate how conflicts between specified SoD constraints and delegation activities can be detected based on evolutionary computation using Multiple-Attractor CA (MACA).