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Research: Policy-Based Autonomous Systems

abstract

The group focuses on policy-based techniques for building dynamic systems that can adapt their operation to changes in requirements, in the context in which the system is running, or in the system itself. The work combines research on the design and implementation of policy-based frameworks with applications of these frameworks in mobile and ubiquitous systems, network and systems management, security, trust, and privacy. Fundamental work within the group has led to the development and release of the Ponder2 policy framework and to the development of formal techniques for policy analysis, compliance checking, refinement and learning. Our research in ubiquitous systems has led to the development of the Self-Managed Cells (SMC) framework, techniques for tracking activities of cellphone users, and techniques for coordination of Unmanned Autonomous Vehicles.  Research in network and systems management has led to the development of policy-based QoS management techniques and has substantially influenced the integration of policy based techniques in network and systems management platforms. Research in security, trust, and privacy has led to the development of authentication and authorisation frameworks for sensor nodes, techniques for searching encrypted data, context-based models for authorisation and authentication and usage control environments. The group founded the IEEE Symposium on Policies for Distributed Systems and Networks, which aims to bring together researchers working on policy-based solutions across different areas of computing. 


 


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Seminars

  • S. Madgwick, Algorithms and instrumentation for ambulatory human motion analysis (02/02 rm 342)
  • V. Gowadia,  Secure Cross-Domain Data Sharing Architecture for Crisis Management (10/11 rm 418)

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