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Scheme : Discovery Projects
Australian State/Territory : WA
Field of Research : Computer Software
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP190103743

    Funder
    Australian Research Council
    Funding Amount
    $660,000.00
    Summary
    Provable elimination of information leakage through timing channels. This project aims to develop techniques to solve the issue in information security of unauthorised information flow resulting from competition for shared hardware resources. The project will combine operating systems design, formal hardware models, information-flow reasoning and theorem proving to achieve a goal that is widely considered infeasible. The project is expected to result in a system that prevents leakage of critical .... Provable elimination of information leakage through timing channels. This project aims to develop techniques to solve the issue in information security of unauthorised information flow resulting from competition for shared hardware resources. The project will combine operating systems design, formal hardware models, information-flow reasoning and theorem proving to achieve a goal that is widely considered infeasible. The project is expected to result in a system that prevents leakage of critical information, such as encryption keys, through timing channels. This should prevent sophisticated attacks on public clouds, mobile devices and military-grade cross-domain devices.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210101348

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an .... Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an open-source tool that can capture precision correlations between deep code features and diverse vulnerabilities to pinpoint emerging vulnerabilities without the need for bug specifications. Significant benefits include greatly improved quality, reliability and security for modern software systems.
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    Funded Activity

    Discovery Projects - Grant ID: DP0663247

    Funder
    Australian Research Council
    Funding Amount
    $233,680.00
    Summary
    Novel Bioinformatics approaches for genetics and data linkage. The research project will involve creation of novel data and communications formats to fulfil the vital task of integrating the vast heterogeneous biological resources available. We will apply this new infrastructure to a large data linkage project. In parallel, we will undertake methodological research in informatics to design high throughput research methods and tools to analyse and visualise genetic data. These will be applied to .... Novel Bioinformatics approaches for genetics and data linkage. The research project will involve creation of novel data and communications formats to fulfil the vital task of integrating the vast heterogeneous biological resources available. We will apply this new infrastructure to a large data linkage project. In parallel, we will undertake methodological research in informatics to design high throughput research methods and tools to analyse and visualise genetic data. These will be applied to linkage disequilibrium mapping and haplotyping in human, animal and plant diseases. Improving informatics integration and designing novel methods and implementations of algorithms will be beneficial to local and international researchers in a range of fields.
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    Funded Activity

    Discovery Projects - Grant ID: DP0211458

    Funder
    Australian Research Council
    Funding Amount
    $218,593.00
    Summary
    Formal Specification and Realisation of Dynamic Reconfiguration in FPGA-based Systems. The project aims are: to significantly advance our understanding of the key concepts needed to successfully exploit dynamic, run-time reconfigurable computing, a technology that is now becoming increasingly available due to developments in FPGA (Field Progammable Gate Array) devices, and the development of an innovative high-level programming environment that will include a language, associated design method .... Formal Specification and Realisation of Dynamic Reconfiguration in FPGA-based Systems. The project aims are: to significantly advance our understanding of the key concepts needed to successfully exploit dynamic, run-time reconfigurable computing, a technology that is now becoming increasingly available due to developments in FPGA (Field Progammable Gate Array) devices, and the development of an innovative high-level programming environment that will include a language, associated design methodologies, compilation techniques, and run-time support that will make dynamic reconfigurable computing accessible to a wide community of potential users.
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    Showing 1-4 of 4 Funded Activites

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