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

Mirko Viroli, Andrea Omicini, Alessandro Ricci

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.

Applied Artificial Intelligence: An International Journal 21(4-5), pages 443-467, April 2007.
Stefania Bandini, Sara Manzoni (eds.), Taylor & Francis.
Special Issue: State of Applications in AI Research from AI*IA 2005

Author = {Viroli, Mirko and Omicini, Andrea and Ricci, Alessandro},
Doi = {10.1080/08839510701253674},
Editor = {Bandini, Stefania and Manzoni, Sara},
Issn = {0883-9514},
Issn-Online = {1087-6545},
Journal = {Applied Artificial Intelligence: An International Journal},
Month = apr,
Note = {Special Issue: State of Applications in AI Research from AI*IA 2005},
Number = {4--5},
Pages = {443--467},
Publisher = {Taylor \& Francis},
ScopusId = {2-s2.0-34248579034},
Title = {Infrastructure for {RBAC-MAS}: An Approach Based on {A}gent {C}oordination {C}ontexts},
Url = {},
Volume = 21,
WosId = {000246536600011},
Year = 2007}

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