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Field of Research : Applied Discrete Mathematics
Field of Research : Software Engineering
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    Discovery Projects - Grant ID: DP120101413

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    Making software more reliable using a new model for entropies of computers' internal state. A new mathematical analysis of the way computer systems exchange data between their components has led to novel design approaches for the programs implementing those systems. This reduces their cost and increases their reliability, with improvements ranging from small-scale smart devices to widely distributed internet protocols.
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    Funded Activity

    Discovery Projects - Grant ID: DP140101119

    Funder
    Australian Research Council
    Funding Amount
    $400,000.00
    Summary
    More information for better utility; less information for better privacy. More information for better utility; less information for better privacy. The contradiction is everywhere in contemporary IT: doctors need accurate information for diagnosis, but insurance companies' access should be limited; on-line retailers use your postcode to present interesting products, but they also deduce from it how much you will pay. One way to manage this contradiction is to tolerate "small" information flows p .... More information for better utility; less information for better privacy. More information for better utility; less information for better privacy. The contradiction is everywhere in contemporary IT: doctors need accurate information for diagnosis, but insurance companies' access should be limited; on-line retailers use your postcode to present interesting products, but they also deduce from it how much you will pay. One way to manage this contradiction is to tolerate "small" information flows providing the risks involved can be accurately gauged. This project will build on recent advances in information measuring to develop new techniques for measuring the extent to which computer systems can defend against threats to privacy. Success in this project will lead to completely novel methods for security analysis of on-line applications where privacy is a critical issue.
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