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Daniel Prince supervises 4 postgraduate research students. If these students have produced research profiles, these are listed below:

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Dr Daniel Prince

Senior Lecturer in Cyber Security, Partnerships Manager

Daniel Prince




Tel: +44 1524 510788


Dr Daniel Prince is an associate director and business partnerships manager for Security Lancaster. Prior to this he was the course director for the multi-disciplinary MSc in Cyber Security teching penetration testing, digital forensics and information security risk management.

Daniel completed his Undergraduate studies in Computer Systems Engineering in 2000 and went onto complete his PhD in Programmable Ad Hoc Networks in 2004. During his PhD he extensively worked with Mobile IPv6, working to complete an Implementation of Cisco IOS and as part of a team worked to implement the protocol in Windows CE.

He now lectures in informed defence and digital forensics as part of the MSc in Cyber Security at Lancaster University.

Thesis Title

Dynamic Service Deployment Through Consensus Negotiation in Programmable Ad Hoc Networks

Thesis Outline

There has recently been considerable interest in the provision of mechanisms for establishing communication between ad hoc groups of devices. The types of device forming these groups range from simple sensor devices to more complex hand held and portable computing devices. This thesis targets this new area and specifically addresses the need for dynamic, “on the fly” configuration of these systems.

A particular complexity in forming impromptu networks or groups is that devices must have compatible software services in order to interoperate. Any inconsistency in this set of services may prevent the network from forming thus inhibiting any collaborative task. The work presented in this thesis provides a novel approach for the discovery, distribution and configuration of the services necessary to achieve an operational ad hoc network.

This thesis contains a discussion of the state of the art technologies and concepts in both Ad Hoc and Programmable Networking. Based on these discussions, an informed design for an ad hoc collaboration network architecture is given followed by an analysis of an implementation of the proposed design. The design and implementation presented herein adopts a programmable networking approach and an innovative distributed consensus resolution algorithm to manage network formation. Finally, evaluation of the architecture and the accompanying prototype implementation shows that it is applicable to the considered problem domain.

Supervised By

Dr Andrew Scott

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