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Socio-Economic Objective : Crime Prevention
Field of Research : Pattern Recognition and Data Mining
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  • Funded Activity

    Linkage Projects - Grant ID: LP120200128

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    Data mining complex transactional and criminal networks. Money laundering, if undetected, poses a major concern for governments and communities. The software system platform for detecting money laundering networks from this project will be the first that can assist intelligence data analysts to detect unknown money laundering networks faster and more accurately, helping fight crimes more efficiently.
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    Funded Activity

    Discovery Projects - Grant ID: DP200101338

    Funder
    Australian Research Council
    Funding Amount
    $540,000.00
    Summary
    Structure Search Over Large Scale Heterogeneous Information Networks . Structure search on heterogeneous information networks (HINs) has many applications including cybersecurity, crime detection, social media, marketing recommendation, and public health. The project aims to develop novel techniques for efficiently conducting structure search on large scale HINs and lay the scientific foundations. The anticipated outcomes include novel computing paradigms, algorithms, indexing, incremental compu .... Structure Search Over Large Scale Heterogeneous Information Networks . Structure search on heterogeneous information networks (HINs) has many applications including cybersecurity, crime detection, social media, marketing recommendation, and public health. The project aims to develop novel techniques for efficiently conducting structure search on large scale HINs and lay the scientific foundations. The anticipated outcomes include novel computing paradigms, algorithms, indexing, incremental computation, and distributed solutions. The success of the project will directly contribute to the scientific foundation of Big Data computation. It will also contribute to the development of local industry involving cybersecurity, social media-based recommendation, network management, knowledge graphs, and E-business.
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    Funded Activity

    Linkage Projects - Grant ID: LP100200079

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    Exposing the anonymous attacker: detecting identity crimes using real-time entity resolution on large dynamic databases. Given the increasingly large costs of identity crimes in Australia, developing improved electronic identity verification techniques is highly significant in reducing losses from such crimes, making the Australian economy more competitive, and increasing consumer confidence in Australian financial institutions. Veda Advantage is widely used for identity verification by Australi .... Exposing the anonymous attacker: detecting identity crimes using real-time entity resolution on large dynamic databases. Given the increasingly large costs of identity crimes in Australia, developing improved electronic identity verification techniques is highly significant in reducing losses from such crimes, making the Australian economy more competitive, and increasing consumer confidence in Australian financial institutions. Veda Advantage is widely used for identity verification by Australian financial service providers, so the benefits of the techniques developed in this project will automatically flow through to the Australian community. These techniques will be sufficiently generic to be of use for real-time identity verification in a broad range of applications, including e-Government portals, electronic banking, online stores, or national security systems.
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    Showing 1-3 of 3 Funded Activites

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