Kinematica: Inference-Based Rapid Resource Exploration Scenario Testing. This project aims to build a new workflow for improving resource exploration evaluation by Australian companies and applied to three practical industry cases in frontier basins. The expected outcomes of this proposal are: detailed risk analysis of oil and gas prospectivity in frontier basins onshore and offshore Australia; a new strategic collaboration between Australian industry, government and universities; students train ....Kinematica: Inference-Based Rapid Resource Exploration Scenario Testing. This project aims to build a new workflow for improving resource exploration evaluation by Australian companies and applied to three practical industry cases in frontier basins. The expected outcomes of this proposal are: detailed risk analysis of oil and gas prospectivity in frontier basins onshore and offshore Australia; a new strategic collaboration between Australian industry, government and universities; students trained in advanced computational methods suitable for the evolving Australian oil and gas industry; and a software product that has high commericalisation potential. The project will transfer knowledge from European industry and universities to Australia and has applications for mineral prospectivity in sedimentary basins. Read moreRead less
Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research ....Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research will include new data privacy models, new privacy-preserving data mining algorithms, and a prototype of cloud data mining software. These will help businesses cut costs for data mining and privacy protection, and provide significant benefits toward helping Australia achieve its national cyber security strategy and potentially provide economic impact from commercialisation of new software technology for the industry partner.Read moreRead less
Forecasting live fuel moisture content, the on/off switch for forest fire. Dry forest fuels are a precursor of large bushfires. This research aims to develop, for the first time, a model to reliably forecast the moisture content of live fuels (e.g. the foliage and fine branches of shrubs and trees). This will be achieved by combining (i) satellite-derived estimates of live fuel moisture content, (ii) forecasts of soil moisture, and (iii) plant physiological responses to soil dryness. Forecasts o ....Forecasting live fuel moisture content, the on/off switch for forest fire. Dry forest fuels are a precursor of large bushfires. This research aims to develop, for the first time, a model to reliably forecast the moisture content of live fuels (e.g. the foliage and fine branches of shrubs and trees). This will be achieved by combining (i) satellite-derived estimates of live fuel moisture content, (ii) forecasts of soil moisture, and (iii) plant physiological responses to soil dryness. Forecasts of live fuel moisture content will deliver an early warning system of the risk of bushfires. These forecasts will also facilitate improved planning of prescribed burns: if fuels are too dry there is a risk of burns escaping, conversely, if fuels are too wet there is a risk that burns will fail to meet objectives.Read moreRead less
Algebraic Methods in Design and Analysis of Stream Ciphers. The project investigates the problem of communication security in the mobile environment where both confidentiality and authenticity are of prime concern. Stream ciphers are a very natural choice in mobile environment as they provide an efficient cryptographic protection using a limited computing resources. We model stream cipher as a system of multivariate equations. In this approach, security of stream ciphers can be measured as the c ....Algebraic Methods in Design and Analysis of Stream Ciphers. The project investigates the problem of communication security in the mobile environment where both confidentiality and authenticity are of prime concern. Stream ciphers are a very natural choice in mobile environment as they provide an efficient cryptographic protection using a limited computing resources. We model stream cipher as a system of multivariate equations. In this approach, security of stream ciphers can be measured as the complexity of an algorithm that solves the appropriate system of equations. This project leads to new techniques for the design and analysis of stream ciphers.Read moreRead less
Enhanced 3-D seismic structure for Southwest Australia. The ancient cratonic lithosphere of Southwest Australia appears to have a distinct contrast in geophysical properties and complex geologic structure, while having some of the highest levels of earthquakes on the continent. The project aims to produce novel 3-D models of this region that combine new seismic data collected over two years with previously collected geophysical datasets from the partner investigators. A compilation of 3-D models ....Enhanced 3-D seismic structure for Southwest Australia. The ancient cratonic lithosphere of Southwest Australia appears to have a distinct contrast in geophysical properties and complex geologic structure, while having some of the highest levels of earthquakes on the continent. The project aims to produce novel 3-D models of this region that combine new seismic data collected over two years with previously collected geophysical datasets from the partner investigators. A compilation of 3-D models will subsequently be developed, to form an effective characterisation of the geologic structure of the craton and its margins. These models will provide enhanced assessment of seismic ground shaking from regional earthquakes and facilitate an improved understanding of mineral resource potential. Read moreRead less
Establishing advanced networks for air quality sensing and analyses. Establishing advanced networks for air quality sensing and analyses. This project aims to develop innovative, cost-effective, high resolution air quality networks. Recent developments in sensor technologies improve the ability to harvest atmospheric data. This project will develop, validate and implement methods for high sensitivity atmospheric sensing and apply cutting-edge statistical and analytic techniques to the data sets, ....Establishing advanced networks for air quality sensing and analyses. Establishing advanced networks for air quality sensing and analyses. This project aims to develop innovative, cost-effective, high resolution air quality networks. Recent developments in sensor technologies improve the ability to harvest atmospheric data. This project will develop, validate and implement methods for high sensitivity atmospheric sensing and apply cutting-edge statistical and analytic techniques to the data sets, unprecedented in scope and resolution. Outcomes include an open access database to quantify and visualise intra-urban air pollution and human exposure and develop air quality maps and smoke pollution management tools. It is expected to advance the evidence-based management of air as a resource, increasing economic prosperity and enhancing human health and quality of life.Read moreRead less
A Socially Conscious Smart IoT Platform for Water Quality Monitoring. This project will develop an intelligent remote water quality monitoring platform based on a new sensor network architectural paradigm. Expected outcomes include an artificially intelligent water quality monitoring system that is produced via a unique social enterprise business model. This approach will facilitate widespread remote water quality monitoring, leading to an enhanced understanding of the environment, whilst provid ....A Socially Conscious Smart IoT Platform for Water Quality Monitoring. This project will develop an intelligent remote water quality monitoring platform based on a new sensor network architectural paradigm. Expected outcomes include an artificially intelligent water quality monitoring system that is produced via a unique social enterprise business model. This approach will facilitate widespread remote water quality monitoring, leading to an enhanced understanding of the environment, whilst providing valuable training/education for the community stakeholders involved in the production of the system. The research outcome will be globally significant, enabling end users to meet key water quality objectives over time, and considerably increase productivity in the Australian agriculture/aquaculture industries.Read moreRead less
Empowering Australia’s Visual Arts via Creative Blockchain Opportunities. This project investigates the provision of a blockchain-based solution for protecting the intellectual property and provenance of visual art, and ways to empower its economic, cultural, and social value and benefits. By exploring innovative non-fungible token (NFT) opportunities in a global cyber security context, we will co-design a user-friendly and compliant tool for expanding the creation and movement of art on existin ....Empowering Australia’s Visual Arts via Creative Blockchain Opportunities. This project investigates the provision of a blockchain-based solution for protecting the intellectual property and provenance of visual art, and ways to empower its economic, cultural, and social value and benefits. By exploring innovative non-fungible token (NFT) opportunities in a global cyber security context, we will co-design a user-friendly and compliant tool for expanding the creation and movement of art on existing virtual galleries and smart contract-enabled platforms. Building on interdisciplinary synergies between creative and IT practices, we will interrogate the efficacy, risks and governance surrounding this global technology, and produce vital new knowledge for engaging with risks and opportunities in the digital economy.Read moreRead less
New digital deep-time exploration tools for a low-emissions economy. Demand for critical minerals will soar as renewable energy generation increases, but exploration companies currently cannot take full advantage of available exploration data in an Earth evolution context. This project will generate new knowledge in big and complex geodata analysis using an innovative data mining approach. It will enable Lithodat, a small enterprise, to perform cloud-based plate tectonic reconstruction, visualis ....New digital deep-time exploration tools for a low-emissions economy. Demand for critical minerals will soar as renewable energy generation increases, but exploration companies currently cannot take full advantage of available exploration data in an Earth evolution context. This project will generate new knowledge in big and complex geodata analysis using an innovative data mining approach. It will enable Lithodat, a small enterprise, to perform cloud-based plate tectonic reconstruction, visualisation and spatio-temporal analysis of geodata for resource exploration. The outcomes include an enhanced capacity to generate ore prospectivity maps and an improved understanding of their tectonic, geochemical, and geophysical signatures, benefiting Lithodat and their clients in the search for new mineral deposits.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