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Australian State/Territory : ACT
Research Topic : Machine tools
Field of Research : Computer Communications Networks
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  • Funded Activity

    Discovery Projects - Grant ID: DP0346541

    Funder
    Australian Research Council
    Funding Amount
    $167,213.00
    Summary
    Network Intrusion Detection via Machine Learning. Computer security is an increasingly important, yet complex task. It takes significant skills to configure systems properly such that they are safe from malicious attacks. The proposed project aims at designing automatic systems which are able to adapt to an existing network configuration and which detect novel and unusual events. For this purpose we will use modern machine learning techniques, mainly based on kernels. In particular, rec .... Network Intrusion Detection via Machine Learning. Computer security is an increasingly important, yet complex task. It takes significant skills to configure systems properly such that they are safe from malicious attacks. The proposed project aims at designing automatic systems which are able to adapt to an existing network configuration and which detect novel and unusual events. For this purpose we will use modern machine learning techniques, mainly based on kernels. In particular, recently developed algorithms to estimate the support of a distribution and detect rare events will be employed in this context. The project is in cooperation with Dr. Ralf Herbrich (Microsoft Research, Cambridge).
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    Funded Activity

    Linkage Projects - Grant ID: LP0669762

    Funder
    Australian Research Council
    Funding Amount
    $147,900.00
    Summary
    Accurate Performance Modelling and Prediction of Cluster Computers. The tools, methodologies and data produced by this project will assist Australian academic and industrial organisations in choosing the most cost-effective cluster configurations for their specific high performance computing requirements. It will also help an Australian company to compete with increasing strength against the major multinationals. The project will also draw together and promote future research links between .... Accurate Performance Modelling and Prediction of Cluster Computers. The tools, methodologies and data produced by this project will assist Australian academic and industrial organisations in choosing the most cost-effective cluster configurations for their specific high performance computing requirements. It will also help an Australian company to compete with increasing strength against the major multinationals. The project will also draw together and promote future research links between two major academic institutions in this field. Finally, the project will provide high-level training in research, with industrial grounding, in the high performance computing industry.
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