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Research Topic : pattern recognition
Field of Research : Software Engineering
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  • Researchers (35)
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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

    Linkage Projects - Grant ID: LP0774944

    Funder
    Australian Research Council
    Funding Amount
    $480,000.00
    Summary
    Intelligent Collaborative Care Management. The project will provide the basis for new models of consumer care in both social and commercial settings. In a commercial setting, customer care means looking after the customer, with the hope of retaining their business. By developing a formal model of evidence-based care, together with the information technologies to implement this model, the project will result in higher quality, safer, more efficient and more effective care. This will produce si .... Intelligent Collaborative Care Management. The project will provide the basis for new models of consumer care in both social and commercial settings. In a commercial setting, customer care means looking after the customer, with the hope of retaining their business. By developing a formal model of evidence-based care, together with the information technologies to implement this model, the project will result in higher quality, safer, more efficient and more effective care. This will produce significant economic and social benefits for Australia across a wide range of service industries. The project will also generate export opportunities for information technology services and products in health care and other service industries. In addition, it will drive collaboration with leading global businesses, providing new paths to market for Australian research, technologies and innovations.
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    Funded Activity

    Discovery Projects - Grant ID: DP140102185

    Funder
    Australian Research Council
    Funding Amount
    $440,000.00
    Summary
    Finding and exploiting interesting paths in multidimensional information spaces. This project will invent a new approach for searching within a large complex information space, finding interesting paths between points within the space, visualising the results, and supporting rich, human-centric user interaction with queries and results. This project will embody these techniques in a novel, internet-scale framework to support rapid development of large path search and visualisation applications. .... Finding and exploiting interesting paths in multidimensional information spaces. This project will invent a new approach for searching within a large complex information space, finding interesting paths between points within the space, visualising the results, and supporting rich, human-centric user interaction with queries and results. This project will embody these techniques in a novel, internet-scale framework to support rapid development of large path search and visualisation applications. Evaluation will be via development of several exemplar applications. The techniques and framework will be applicable to a broad range of economically important problems in areas as diverse as health, travel, scientific publication search, product marketing and software engineering.
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    Funded Activity

    Discovery Projects - Grant ID: DP160102412

    Funder
    Australian Research Council
    Funding Amount
    $311,000.00
    Summary
    Identifying and Tracking Influential Events in Large Social Networks. This project aims to invent a novel model and techniques for identifying and tracking influential events in large and dynamic social networks in real time. The proposed model would take into account the structure and content of social networks, and the influence of events. The project also plans to develop efficient strategies for identifying and tracking events in large and dynamic social network environments based on the mod .... Identifying and Tracking Influential Events in Large Social Networks. This project aims to invent a novel model and techniques for identifying and tracking influential events in large and dynamic social networks in real time. The proposed model would take into account the structure and content of social networks, and the influence of events. The project also plans to develop efficient strategies for identifying and tracking events in large and dynamic social network environments based on the model, In particular, the project plans to investigate flexible social network query methods to make users’ event search easy. Finally the project plans to build an evaluation system to demonstrate the efficiency of the algorithms and effectiveness of the model.
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    Funded Activity

    Linkage Projects - Grant ID: LP140100698

    Funder
    Australian Research Council
    Funding Amount
    $280,000.00
    Summary
    Secure user authentication with continuous adaptive risk evaluation. Users typically authenticate to any given system only once - when they first access it (for example, through providing a password or fingerprint). The prevalence of single sign-on further allows this single authentication to be sufficient for access to multiple systems. Thus an adversary can obtain a large degree of access from stealing a single password, hijacking a user's session, or even simply borrowing their phone. This pr .... Secure user authentication with continuous adaptive risk evaluation. Users typically authenticate to any given system only once - when they first access it (for example, through providing a password or fingerprint). The prevalence of single sign-on further allows this single authentication to be sufficient for access to multiple systems. Thus an adversary can obtain a large degree of access from stealing a single password, hijacking a user's session, or even simply borrowing their phone. This project aims to develop a continuous authentication approach based on user behaviour - typical interactions plus biometrics (for example, keystroke dynamics) - combined with a risk adaptive assessment of the resources being accessed, resulting in re-authentication requests in the event of a suspected compromise.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP150100892

    Funder
    Australian Research Council
    Funding Amount
    $473,000.00
    Summary
    Virtual Environments for Improved Enterprise Software Deployment. This project aims to improve quality assurance for enterprise IT. Enterprise IT systems are highly interconnected and interdependent — a failure in one system can cause a cascade of failures across multiple systems, bringing business to a standstill. The project aims to create new technologies to automate the provisioning of virtual deployment environments to test the enterprise systems. In particular, it aims to develop new metho .... Virtual Environments for Improved Enterprise Software Deployment. This project aims to improve quality assurance for enterprise IT. Enterprise IT systems are highly interconnected and interdependent — a failure in one system can cause a cascade of failures across multiple systems, bringing business to a standstill. The project aims to create new technologies to automate the provisioning of virtual deployment environments to test the enterprise systems. In particular, it aims to develop new methods for the automatic analysis of service interaction traces and the generation of accurate executable service models, without requiring explicit knowledge of them. The automatic analysis and generation should reduce development cost for enterprise IT systems and increase system quality and reliability. The new software deployment technologies from this project aim to significantly reduce the time, effort and cost of system quality assurance activities in software development organisations, and yet produce higher-quality software leading to uninterrupted business operation in end-user organisations across all sectors.
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    Funded Activity

    Linkage Projects - Grant ID: LP110200321

    Funder
    Australian Research Council
    Funding Amount
    $255,000.00
    Summary
    A fast and effective automated insider threat detection and prediction system. Threats from insiders directly compromises the security, privacy and integrity of Australian e-commerce, large databases and communication channels. This project will provide an essential step in combating this criminal activity by developing methods to detect such threats and secure the public's information against exposure and identity theft.
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    Funded Activity

    Linkage Projects - Grant ID: LP110100541

    Funder
    Australian Research Council
    Funding Amount
    $430,000.00
    Summary
    Assistive technologies for autism support harnessing social media. This project aims to tap social media to revolutionize early intervention therapy for children with autism. By creating open, extensible software for therapy delivery, and tools for parents to access high quality information and support, we will provide children a greater chance to achieve their potential and much-needed relief for parents and carers.
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    Showing 1-8 of 8 Funded Activites

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