Enabling Anonymity and Privacy for Blockchain Technology in a Quantum World. Blockchain is a promising technology in the digital world today. However, existing approaches for enabling blockchain applications, particularly with privacy protection and anonymity, are vulnerable to quantum computer attacks. This project aims to enable novel cryptographic mechanisms together with their cryptographic libraries for protecting blockchain in the quantum world, hence, post-quantum secure blockchain. The e ....Enabling Anonymity and Privacy for Blockchain Technology in a Quantum World. Blockchain is a promising technology in the digital world today. However, existing approaches for enabling blockchain applications, particularly with privacy protection and anonymity, are vulnerable to quantum computer attacks. This project aims to enable novel cryptographic mechanisms together with their cryptographic libraries for protecting blockchain in the quantum world, hence, post-quantum secure blockchain. The expected outcomes of this project include innovative technologies, as well as secure and practical post-quantum protocols for protecting future blockchain applications. This will provide economic and social benefits to Australian industry through the enablement of advanced technologies which are developed in Australia.Read moreRead less
Reconstructing land tenure maps of Australia in 3D. Existing land tenure maps of above and below ground, such as apartment ownership, tunnels, and mining, are maintained using 2D drawings. However, the drawings are not structured and valuable for detailed and advanced visualisation, analytics, and simulation, which are essential for testing potential interventions and policy development. This project aims to develop a data validation framework for transforming current drawings and reconstructing ....Reconstructing land tenure maps of Australia in 3D. Existing land tenure maps of above and below ground, such as apartment ownership, tunnels, and mining, are maintained using 2D drawings. However, the drawings are not structured and valuable for detailed and advanced visualisation, analytics, and simulation, which are essential for testing potential interventions and policy development. This project aims to develop a data validation framework for transforming current drawings and reconstructing them into 3D models. The outcomes include validation principles, formal mathematical terms, and computational algorithms. Benefits include a cost-effective onshore alternative to offshore 3D reconstruction practices, efficient land development and infrastructure planning, and fewer property disputes.Read moreRead less
Audit Security Models for Multiparty Internet Transactions. The aim of this project is to conduct the study for a secure, low overhead means of auditing secure transactions between two parties over the Internet, especially where some doubt surrounds the trustfulness of the other party.
A study will be conducted in this project by investigating security models for multiparty secure transactions in order to identify a number of likely applications for the technology, to develop a high level arch ....Audit Security Models for Multiparty Internet Transactions. The aim of this project is to conduct the study for a secure, low overhead means of auditing secure transactions between two parties over the Internet, especially where some doubt surrounds the trustfulness of the other party.
A study will be conducted in this project by investigating security models for multiparty secure transactions in order to identify a number of likely applications for the technology, to develop a high level architecture of the solution.Read moreRead less
Robust Defences against Adversarial Machine Learning for UAV Systems. This project aims to investigate robust defences for Unmanned Aerial Vehicle (UAV) systems to protect them against adversarial Machine Learning (ML) attacks. This project expects to generate new knowledge in the area of cybersecurity using innovative approaches to safeguard UAV systems from attacks that exploit vulnerabilities in ML models. The expected outcomes of this project include improve techniques for understanding and ....Robust Defences against Adversarial Machine Learning for UAV Systems. This project aims to investigate robust defences for Unmanned Aerial Vehicle (UAV) systems to protect them against adversarial Machine Learning (ML) attacks. This project expects to generate new knowledge in the area of cybersecurity using innovative approaches to safeguard UAV systems from attacks that exploit vulnerabilities in ML models. The expected outcomes of this project include improve techniques for understanding and developing robust ML models and enhanced capacity to design secure UAV systems. This should provide significant benefits, such as improving the security of UAV technology and increasing the reliable use of UAVs for transport and logistics services to support urban and regional communities in Australia.Read moreRead less
Integrated Financial Fraud Detection in Enterprise Applications. Fraud costs the Australian economy at least $3 billion per year. The incidence of fraud within the Australian economy is increasing. Australian entities are ill-prepared to detect and prevent fraud against their businesses with very few developing or implementing any form of fraud control strategy (AS 8001-2003). The growing use of the Internet by organisations for electronic commerce increases their exposure to fraudulent activiti ....Integrated Financial Fraud Detection in Enterprise Applications. Fraud costs the Australian economy at least $3 billion per year. The incidence of fraud within the Australian economy is increasing. Australian entities are ill-prepared to detect and prevent fraud against their businesses with very few developing or implementing any form of fraud control strategy (AS 8001-2003). The growing use of the Internet by organisations for electronic commerce increases their exposure to fraudulent activities. Inevitably much of the cost of fraud is passed on to the customers and the community at large. By providing large organisations with an approach to assist in detecting fraudulent behaviour in accounting systems, it is envisaged that this research will assist in reducing the impact of fraud on society.Read moreRead less
Legal and social dynamics of eBook lending in Australia’s public libraries. Legal and social dynamics of eBook lending in Australia’s public libraries. This project aims to develop an evidence base of quantitative and qualitative data about how eBooks are used in libraries. EBooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. However, libraries’ rights to acquire and lend them are more restricted than for physical b ....Legal and social dynamics of eBook lending in Australia’s public libraries. Legal and social dynamics of eBook lending in Australia’s public libraries. This project aims to develop an evidence base of quantitative and qualitative data about how eBooks are used in libraries. EBooks have tremendous beneficial potential, particularly for Australians in remote areas and those with impaired mobility or vision. However, libraries’ rights to acquire and lend them are more restricted than for physical books. Libraries and legal, social and data science researchers will investigate eBook lending practices and understand their social impacts. The project will identify ways of reforming policy, law, and practice to help libraries fulfil their public interest missions. This project is expected to enable libraries to extract more value from existing public investments.Read moreRead less
Music Usage Metrics and the Future of the Australian Music Industry. This project aims to conduct a comprehensive and systematic examination of changing music consumption patterns in Australia in an era of digital downloads. Based on a comprehensive longitudinal dataset on music use in Australia provided by industry partners, the project plans to use innovative computational methods to develop and test evidence-based models for generating, sharing and distributing music revenues. It also plans t ....Music Usage Metrics and the Future of the Australian Music Industry. This project aims to conduct a comprehensive and systematic examination of changing music consumption patterns in Australia in an era of digital downloads. Based on a comprehensive longitudinal dataset on music use in Australia provided by industry partners, the project plans to use innovative computational methods to develop and test evidence-based models for generating, sharing and distributing music revenues. It also plans to examine the current and future uses of music usage data in decision-making processes in music organisations, as well as the potential consequences of such use for practitioners and industry stakeholders. The project aims to support the future growth of the Australian music industry.Read moreRead less
Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlyin ....Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlying biological and biomedical processes, bringing sustainable discovery of new relationships and variations within the data. The project aims to support new approaches to medical diagnosis and treatment, and offer crucial lessons to address the broader challenge of understanding large, complex data sets.Read moreRead less
In-memory moving objects analytics for real-time business applications. This project aims to develop a novel computing foundation based on in-memory technologies to address significant challenges of big data and location-based business intelligence, building upon the well-recognised research excellence in spatiotemporal data management at the University of Queensland, and HANA, SAP's (Systems, Applications, Products in data processing) new in-memory analytics platform.
Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the ....Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the early detection and warning of cyberbullying and approach open a new way to discover interaction patterns with a large number of participants over evolving and complex social networks.Read moreRead less