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Field of Research : Global Information Systems
Field of Research : Computer System Security
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  • Funded Activity

    Discovery Projects - Grant ID: DP180102828

    Funder
    Australian Research Council
    Funding Amount
    $372,725.00
    Summary
    Enhancing information credibility using mathematical prediction. The aim of this project is to develop theory, techniques, mathematical tools and practical algorithms for rumor detection and forecast in social media to enhance credibility of news, especially in time-sensitive situations and trending events. This project will significantly advance human knowledge of rumor formation, detection, and forecast, which will enable timely and efficient counter attacks. The outcomes from this project wil .... Enhancing information credibility using mathematical prediction. The aim of this project is to develop theory, techniques, mathematical tools and practical algorithms for rumor detection and forecast in social media to enhance credibility of news, especially in time-sensitive situations and trending events. This project will significantly advance human knowledge of rumor formation, detection, and forecast, which will enable timely and efficient counter attacks. The outcomes from this project will offer a reliable information environment for our society.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220100983

    Funder
    Australian Research Council
    Funding Amount
    $455,000.00
    Summary
    Blockchain-Enabled Federated Learning for Secure and Decentralised Learning. This project aims to develop novel blockchain-enabled federated learning techniques for secure and decentralised learning. It addresses an important and urgent machine learning problem, that is, the data useful for training machine learning models are often held by different owners who are not willing to share their data due to privacy concerns, resulting in isolated data islands. The project will result in a set of inn .... Blockchain-Enabled Federated Learning for Secure and Decentralised Learning. This project aims to develop novel blockchain-enabled federated learning techniques for secure and decentralised learning. It addresses an important and urgent machine learning problem, that is, the data useful for training machine learning models are often held by different owners who are not willing to share their data due to privacy concerns, resulting in isolated data islands. The project will result in a set of innovative algorithms that provide solutions to the key challenges in blockchain-enabled federated learning. The expected outcomes of the project will dramatically advance the frontier of machine learning and blockchain research, and have massive social and economic benefits for Australia and international communities.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200100946

    Funder
    Australian Research Council
    Funding Amount
    $450,000.00
    Summary
    The right to be forgotten: GDPR modelling in cross-domain social networks . The project aims to develop a theoretical model and practical mechanisms to address the critical challenge – ‘right to be forgotten’ - raised from the General Data Protection Regulation (GDPR) with minimal compromising of the utility of the data. To achieve the aim, we will design a ‘right to be forgotten’ framework and associated erasure mechanisms that are effective even information is derived from multiple related soc .... The right to be forgotten: GDPR modelling in cross-domain social networks . The project aims to develop a theoretical model and practical mechanisms to address the critical challenge – ‘right to be forgotten’ - raised from the General Data Protection Regulation (GDPR) with minimal compromising of the utility of the data. To achieve the aim, we will design a ‘right to be forgotten’ framework and associated erasure mechanisms that are effective even information is derived from multiple related social networks. The framework will be created by identifying heterogeneous information, modelling individual behaviour patterns and designing erasure policies. The outcomes of the project can be used by the government to provide privacy guarantees to Australian cyberspace and by industry to protect their clients’ privacy.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190100981

    Funder
    Australian Research Council
    Funding Amount
    $314,000.00
    Summary
    Enhancing privacy preserving in dynamic cyberspace. This project aims to develop a novel infrastructure operational monitoring and management strategy to reduce the redundant maintenance actions and achieve a cost-effective approach for civil infrastructure asset management. The project will use multiple social networks as a platform for the project, with the potential for the results to be extended to any dynamic cyberspace. Project outcomes will include a set of new analysis theories and tools .... Enhancing privacy preserving in dynamic cyberspace. This project aims to develop a novel infrastructure operational monitoring and management strategy to reduce the redundant maintenance actions and achieve a cost-effective approach for civil infrastructure asset management. The project will use multiple social networks as a platform for the project, with the potential for the results to be extended to any dynamic cyberspace. Project outcomes will include a set of new analysis theories and tools to facilitate government, companies, individuals, and organisations to enhance their information gathering and privacy-preserving capabilities. This is expected to enhance the credibility of the government and organisations and save the possible financial loss of companies and individuals.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP180101150

    Funder
    Australian Research Council
    Funding Amount
    $320,000.00
    Summary
    Privacy preservation for personalised smart devices. The goal of this project is to build a privacy preservation framework for personalised smart devices with both immediate and long-term applications in a range of industries. The novel theoretical contributions include a privacy-preservation mechanism that guards against attacks by intelligent tools, a model and metrics that distinguish between object detection and object recognition, and allowing users to specify their desired level of privacy .... Privacy preservation for personalised smart devices. The goal of this project is to build a privacy preservation framework for personalised smart devices with both immediate and long-term applications in a range of industries. The novel theoretical contributions include a privacy-preservation mechanism that guards against attacks by intelligent tools, a model and metrics that distinguish between object detection and object recognition, and allowing users to specify their desired level of privacy guarantee. Practically, these solutions have clear economic and public-safety benefits. The solutions will accelerate AI device development, advance smart technologies based on individual behaviours, and guarantee personal data privacy against both human attackers and adversarial algorithms.
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    Funded Activity

    Linkage Projects - Grant ID: LP170100458

    Funder
    Australian Research Council
    Funding Amount
    $310,000.00
    Summary
    Novel audio watermarking techniques for tracing multimedia piracy. This project aims to develop inaudible, high-capacity audio watermarking techniques to trace the illegal copying and distribution of multimedia data containing a sound component, such as audios and sound videos. With the rapid growth of communication networks and the use of advanced multimedia technology, digital multimedia data can be easily copied, manipulated and distributed. This has led to strong demand for new techniques to .... Novel audio watermarking techniques for tracing multimedia piracy. This project aims to develop inaudible, high-capacity audio watermarking techniques to trace the illegal copying and distribution of multimedia data containing a sound component, such as audios and sound videos. With the rapid growth of communication networks and the use of advanced multimedia technology, digital multimedia data can be easily copied, manipulated and distributed. This has led to strong demand for new techniques to prevent illegal use of copyrighted data. The project is expected to advance the theory of audio watermarking and enhance Australia's international competitiveness in this field.
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    Funded Activity

    Discovery Projects - Grant ID: DP140103885

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    Post-Quantum Functional Encryption : Principles, Protocols and Practice. Modern cryptography has the power to revolutionise virtually every aspect of our online lives. Large-scale secure data sharing could become a breeze, with tools such as functional encryption (FE) to give us fine control over access rights by means of expressive languages, and there will be no more juggling of crypto keys. Finally, the known foundations of FE will crumble when even small-sized quantum computers become realit .... Post-Quantum Functional Encryption : Principles, Protocols and Practice. Modern cryptography has the power to revolutionise virtually every aspect of our online lives. Large-scale secure data sharing could become a breeze, with tools such as functional encryption (FE) to give us fine control over access rights by means of expressive languages, and there will be no more juggling of crypto keys. Finally, the known foundations of FE will crumble when even small-sized quantum computers become reality, perhaps next decade. This project aims to recreate and expand the power of FE from post-quantum (PQ) mathematical principles, immune to quantum attacks, building on recent discoveries of limited forms of PQ-FE from rock-solid crypto principles. It begs exploring, for the truly spectacular outcomes likely to ensue.
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    Funded Activity

    Linkage Projects - Grant ID: LP170100123

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    A provable privacy-preserving data sharing system for the cloud environment. This project aims to develop an innovative data sharing system, with a mathematically provable privacy guarantee, in a cloud environment. This will be adopted by Australian Education Management Group’s (AEMG) cloud campus to exchange data in a restricted privacy manner between partner institutions. It will be commercialised as a middleware that can be plugged into existing cloud environments to maintain required privacy .... A provable privacy-preserving data sharing system for the cloud environment. This project aims to develop an innovative data sharing system, with a mathematically provable privacy guarantee, in a cloud environment. This will be adopted by Australian Education Management Group’s (AEMG) cloud campus to exchange data in a restricted privacy manner between partner institutions. It will be commercialised as a middleware that can be plugged into existing cloud environments to maintain required privacy even when the cloud crosses various jurisdictions with different privacy policies. The outcomes will benefit educational organisations, and lay the foundations for data sharing in other communities such as the government, banks, and other industries in Australia.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP190100594

    Funder
    Australian Research Council
    Funding Amount
    $347,536.00
    Summary
    Privacy-Preserving Fog Info System in Infrastructure-Deficient Environments. Due to Australia’s unique geographical distribution and population density, many regional or remote areas lack infrastructural support and development, including telecommunications and electricity supply. It is important to provide information and communication services in such infrastructure-deficient environments. In this project, we will develop a first-ever commercially ready Fog information system, or FogIS in shor .... Privacy-Preserving Fog Info System in Infrastructure-Deficient Environments. Due to Australia’s unique geographical distribution and population density, many regional or remote areas lack infrastructural support and development, including telecommunications and electricity supply. It is important to provide information and communication services in such infrastructure-deficient environments. In this project, we will develop a first-ever commercially ready Fog information system, or FogIS in short, to enable localised information and communication services, while preserving users' privacy, in infrastructure-deficient environments. The deployment of this system will bring great benefits to Australia’s economic growth, the quality of life, cybersecurity, and environment control in rural and regional Australia.
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