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Privacy-preserving datagram delivery for ubiquitous systems

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Abstract:

This talk describes one method of achieving communication privacy for ubiquitous systems and presents some preliminary performance results. More specifically, we (i) describe the difference between data privacy and communication privacy and outline why both are important in ubiquitous computing; (ii) describe how to modify Tor, an anonymous communication framework, to provide anonymous datagram communication suitable for use in ubiquitous systems; and (iii) test and evaluate the performance of our proposal with reference to an example citywide sensor network. We find that the system offers ubiquitous applications a low latency communication channel with reasonable privacy properties and that one pays surprisingly little for the benefits of the Tor infrastructure.

Bio:

David Evans is a Research Associate attached to the TIME -EACM project, examining issues of security and privacy in transport monitoring middleware and applications.

He holds a PhD from the University of Waterloo in Waterloo, Ontario, Canada, where he explored resource management strategies for the delivery of rapidly changing, frequently requested information.

He has also worked on software infrastructures for unobtrusive monitoring of frail individuals, and with the IBM Centre for Advanced Studies on web system scalability and data centre resource provisioning.

His masters research covered digital rights management.

His research interests include performance modelling and analysis of distributed and operating systems, privacy and trust, and novel applications for low-overhead virtualisation.

You can see more of Dave’s research .

This talk is part of the Computer Laboratory Opera Group Seminars series.

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