Using Formal Methods for the Analysis and Refinement of Policies
This event took place on Monday 24 April 2006 at 10:00
Dr. Arosha Bandara Imperial College London
Policy-based approaches to systems management are gaining widespread interest because they allow the separation of the rules that govern the behavioural choices of a system from the functionality provided by that system. In order to deploy policy based management in enterprise systems, it is important to be able to analyse policies to ensure consistency and to ensure that key properties are preserved in the configuration of a managed system. Although many policy languages have been proposed in the literature, the need for policy analysis techniques has not been adequately addressed. Additionally, it is important that system administrators have support for transforming the high-level goals they wish to achieve into concrete policies that can be enforced by the system. This process is called policy refinement and is another area of policy based systems research had been largely ignored in previous work.
In this seminar I will present my research on developing an integrated approach to policy analysis and refinement that is based on the application of formal reasoning techniques. Recognising the importance of being able to analyse policies in the presence of constraints that control their applicability, the method uses a formal representation of policies and managed systems, together with abductive reasoning techniques, to not only detect the presence of conflicts but generate explanations of the circumstances in which a conflict might arise. Additionally, the approach supports policy refinement based on goal elaboration techniques developed for requirements engineering. Since the refinement process requires expertise of the application domain, the technique uses the idea of refinement patterns to allow refinement results to be reused by non-expert users.
I conclude by discussing my ongoing research on the use of other formal reasoning frameworks, such as argumentation and preference logic, to provide enhanced analysis and refinement capabilities.
Download PowerPoint presentation (24.5Mb ZIP file)
This event took place on Monday 24 April 2006 at 10:00
Policy-based approaches to systems management are gaining widespread interest because they allow the separation of the rules that govern the behavioural choices of a system from the functionality provided by that system. In order to deploy policy based management in enterprise systems, it is important to be able to analyse policies to ensure consistency and to ensure that key properties are preserved in the configuration of a managed system. Although many policy languages have been proposed in the literature, the need for policy analysis techniques has not been adequately addressed. Additionally, it is important that system administrators have support for transforming the high-level goals they wish to achieve into concrete policies that can be enforced by the system. This process is called policy refinement and is another area of policy based systems research had been largely ignored in previous work.
In this seminar I will present my research on developing an integrated approach to policy analysis and refinement that is based on the application of formal reasoning techniques. Recognising the importance of being able to analyse policies in the presence of constraints that control their applicability, the method uses a formal representation of policies and managed systems, together with abductive reasoning techniques, to not only detect the presence of conflicts but generate explanations of the circumstances in which a conflict might arise. Additionally, the approach supports policy refinement based on goal elaboration techniques developed for requirements engineering. Since the refinement process requires expertise of the application domain, the technique uses the idea of refinement patterns to allow refinement results to be reused by non-expert users.
I conclude by discussing my ongoing research on the use of other formal reasoning frameworks, such as argumentation and preference logic, to provide enhanced analysis and refinement capabilities.
Download PowerPoint presentation (24.5Mb ZIP file)
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Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
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