Infrastructure for RBAC-MAS: An Approach Based on Agent Coordination Contexts


Mirko Viroli, Andrea Omicini, Alessandro Ricci

Applied Artificial Intelligence: An International Journal 21(4-5), pages 443–467
April 2007

In this paper, we discuss how to shape a MAS infrastructure to support an agent-oriented role-based access control model (RBAC-MAS). First, we introduce the RBAC model, and show how it can be extended to capture the essential features of agent systems. Then, we extrapolate the core requirements of an infrastructure for RBAC-MAS, and depict a possible approach based on ACCs (agent coordination contexts). The conceptual framework for a RBAC-MAS infrastructure exploiting ACCs is subsequently formalised through a process-algebraic description of the main infrastructure entities: this is meant to serve as a formal specification of both the infrastructure and the language for expressing roles, operations and policies in RBAC-MAS.

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Publication

— authors

— editors

Stefania Bandini, Sara Manzoni

— status

published

— sort

article in journal

— publication date

April 2007

— journal

Applied Artificial Intelligence: An International Journal

— volume

21

— issue

4-5

— pages

443–467

URLs

original page

identifiers

— DOI

10.1080/08839510701253674

— ACM

10.1080/08839510701253674

— IRIS

11585/45413

— Scopus

2-s2.0-34248579034

— WoS / ISI

000246536600011

— print ISSN

0883-9514

notes

— note

Special Issue: State of Applications in AI Research from AI*IA 2005

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