Conflict Resolution Using Logic Programming
IEEE Transactions on Knowledge and Data Engineering
POLICY '03 Proceedings of the 4th IEEE International Workshop on Policies for Distributed Systems and Networks
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POLICY '03 Proceedings of the 4th IEEE International Workshop on Policies for Distributed Systems and Networks
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POLICY '03 Proceedings of the 4th IEEE International Workshop on Policies for Distributed Systems and Networks
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POLICY '05 Proceedings of the Sixth IEEE International Workshop on Policies for Distributed Systems and Networks
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POLICY '07 Proceedings of the Eighth IEEE International Workshop on Policies for Distributed Systems and Networks
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POLICY '07 Proceedings of the Eighth IEEE International Workshop on Policies for Distributed Systems and Networks
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EASE '08 Proceedings of the Fifth IEEE Workshop on Engineering of Autonomic and Autonomous Systems
The policy continuum-Policy authoring and conflict analysis
Computer Communications
Using an Information Model and Associated Ontology for Selection of Policies for Conflict Analysis
POLICY '08 Proceedings of the 2008 IEEE Workshop on Policies for Distributed Systems and Networks
Policy-constrained bio-inspired processes for autonomic route management
Computer Networks: The International Journal of Computer and Telecommunications Networking
Conflict prevention via model-driven policy refinement
DSOM'06 Proceedings of the 17th IFIP/IEEE international conference on Distributed Systems: operations and management
Taxonomy of conflicts in network security policies
IEEE Communications Magazine
Conflict classification and analysis of distributed firewall policies
IEEE Journal on Selected Areas in Communications
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We present a policy conflict analysis process that makes use of pre-defined semantic models of an application to perform effective and efficient conflict analysis. The process is effective as it can be used to analyse for policy conflicts that may occur in different applications due to the separation of application specific information and constraints from the algorithms to semantic models, such as information model and ontologies. The process is efficient as it incorporates a pre-analysis policy selection step that reduces the number of policies that need to be analysed more extensively. Experimental results show that this process results in a significant reduction in the number of policies that needed to be analysed for potential conflict and that it is flexible enough to detect for policy conflict both for many popular applications and between different applications.