Conflict Prevention Via Model-Driven Policy Refinement

  • Steven Davy
  • Brendan Jennings
  • John Strassner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4269)


This paper describes an approach for application specific conflict prevention based on model-driven refinement of policies prior to deployment. Central to the approach is an algorithm for the retrieval of application-specific data from an information model relating to the subject and targets of a given policy. This algorithm facilitates the linkage of policies loosely defined at a high level of abstraction to detailed behavioural constraints specified in the information model. Based on these constraints policies are then modified so that conflicts with other deployed policies can be readily identified using standard policy conflict detection techniques. This approach enables policy enforcement to be cognisant of application specific constraints, thereby resulting in a more trustworthy and dependable policy based management system.


Information Model Object Constraint Language Prototype Implementation Policy Conflict Object Constraint Language Constraint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© IFIP International Federation for Information Processing 2006

Authors and Affiliations

  • Steven Davy
    • 1
  • Brendan Jennings
    • 1
  • John Strassner
    • 2
  1. 1.Telecommunication Software & Systems GroupWaterford Institute of TechnologyWaterfordIreland
  2. 2.Motorola LabsChicagoUSA

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