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
In-field sensors for the detection of illicit drugs. Presumptive field test kits for illicit drugs analysis are typically based on chemical spot tests that produce a coloured product. While relatively easy to apply, such test kits (containing wet chemicals) produce inconclusive colour changes lacking sensitivity, and selectivity requiring a subjective assessment by the examiner. Despite these limitations, these test kits are in widespread use and are routinely used. This study aims to develop s ....In-field sensors for the detection of illicit drugs. Presumptive field test kits for illicit drugs analysis are typically based on chemical spot tests that produce a coloured product. While relatively easy to apply, such test kits (containing wet chemicals) produce inconclusive colour changes lacking sensitivity, and selectivity requiring a subjective assessment by the examiner. Despite these limitations, these test kits are in widespread use and are routinely used. This study aims to develop specific in-field sensors for the detection and identification of illicit drugs. This would significantly enhance the ability of Forensic Services staff to confirm the identity of seized material. Increased specificity would provide valuable early advice to investigators regarding the nature of a seizure and would reduce the likelihood of false positive results. Increased sensitivity would permit the analysis of trace amounts of material from individuals or locations related to an illicit drug consignment.Read moreRead less
Forensic platform technologies for roadside and workplace testing based on nanostructured silicon chips. Roadside drug testing has recently been incorporated into government legislation throughout Australia and abroad. The objective of this project is to develop advanced analysis technologies for implementing effective roadside and workplace testing. The availability of these technologies will increase the safety of Australian drivers and workers.
Quantum noise limited molecular spectrometry. This project will develop a new technology for chemical analysis using lasers. The research will produce more accurate instruments for analysing samples containing carbon dioxide and water. This technology has a surprisingly wide array of applications. For example, sensitive analysis of carbon dioxide will help law enforcement agencies identify the location of illicit drug manufacturing, test for performance enhancing drug use by elite athletes, and ....Quantum noise limited molecular spectrometry. This project will develop a new technology for chemical analysis using lasers. The research will produce more accurate instruments for analysing samples containing carbon dioxide and water. This technology has a surprisingly wide array of applications. For example, sensitive analysis of carbon dioxide will help law enforcement agencies identify the location of illicit drug manufacturing, test for performance enhancing drug use by elite athletes, and monitor greenhouse gases. The instrument for analysing water will improve water resource management in Australia. This program will result in commercial instruments that are sensitive, portable and affordable.Read moreRead less
Development of biosensors and bioindicators for gold exploration and processing in Australia. In times of increasing demand for gold and shrinking rates of discovery in Australia, biosensor and bioindicator techniques deliver significant advantages to the Australian mining industry and allow it to retain its international competiveness. The new understanding of the biogeochemical behaviour of gold in soils and other weathered materials developed in a previous ARC Linkage Project enables the deve ....Development of biosensors and bioindicators for gold exploration and processing in Australia. In times of increasing demand for gold and shrinking rates of discovery in Australia, biosensor and bioindicator techniques deliver significant advantages to the Australian mining industry and allow it to retain its international competiveness. The new understanding of the biogeochemical behaviour of gold in soils and other weathered materials developed in a previous ARC Linkage Project enables the development of biosensor and bioindicator technology that will allow mineral explorers to differentiate mineralised from non-mineralised zones using specific (meta) genomic community responses. The new technology will provide cost-efficient and environmentally sustainable techniques for improving exploration success and optimising ore processing.Read moreRead less
Cohort discovery and activity mining for policy impact prediction. Cohort discovery and activity mining for policy impact prediction. This project aims to develop an intelligent systematic framework to predict policy impacts on Australian patients, by discovering inherent patient cohorts and assessing the impact of the policies on these cohorts. The proposed methods lay the theoretical foundations for building intelligent automated tools for policy assessment. Expected outcomes are data-driven p ....Cohort discovery and activity mining for policy impact prediction. Cohort discovery and activity mining for policy impact prediction. This project aims to develop an intelligent systematic framework to predict policy impacts on Australian patients, by discovering inherent patient cohorts and assessing the impact of the policies on these cohorts. The proposed methods lay the theoretical foundations for building intelligent automated tools for policy assessment. Expected outcomes are data-driven patient group discovery, which could more precisely identify the patient cohorts most likely to benefit from a specific policy; and a model to predict the efficacy of policy options, which could increase the sustainability of the national health system by enabling smarter, more efficient policy decision-making.Read moreRead less
Towards in-vehicle situation awareness using visual and audio sensors. This project aims to characterise driver awareness, activity and interactions with other vehicle occupants using visual and audio cues from internally mounted sensors. Road accidents cost Australia an estimated $30 billion per year and tragic loss of thousands of lives, yet the vast majority of severe vehicle crashes are linked to driver fatigue or distraction. The expected project outcomes include advanced artificial intelli ....Towards in-vehicle situation awareness using visual and audio sensors. This project aims to characterise driver awareness, activity and interactions with other vehicle occupants using visual and audio cues from internally mounted sensors. Road accidents cost Australia an estimated $30 billion per year and tragic loss of thousands of lives, yet the vast majority of severe vehicle crashes are linked to driver fatigue or distraction. The expected project outcomes include advanced artificial intelligence to infer and predict dangerous driver and passenger behaviour. This has the potential to significantly benefit society by advancing autonomous driving capabilities and reducing driver-induced accidents and fatalities, ensuring that every driver, passenger and pedestrian arrives home safely at the end of each day.Read moreRead less
Secure and Resistant Blockchain for Financial and Business Applications. The aim of this project is to develop a practical secure blockchain technology for the booming applications in finance and business. This project expects to address the leading security threats to the current blockchain applications. The expected outcome is an executable secure and resistant blockchain prototype through the integration of the latest developed and customized techniques. The success of the project will dramat ....Secure and Resistant Blockchain for Financial and Business Applications. The aim of this project is to develop a practical secure blockchain technology for the booming applications in finance and business. This project expects to address the leading security threats to the current blockchain applications. The expected outcome is an executable secure and resistant blockchain prototype through the integration of the latest developed and customized techniques. The success of the project will dramatically benefit Australian people and government, especially for the Australian ICT industry for commercializing the research outputs. Read moreRead less
New error correction strategies for continuous variable quantum key distribution. Quantum key distribution is a completely secure method for two distant parties to share a unique secret key. The aim of this project is to design new algorithms, construction tools and analysis techniques to produce new iterative error correction codes, which will improve the operational distance and performance of quantum key distribution.
The evolution of Australian enterprises, 1990 to 2007 : An empirical analysis of the relationship between turbulence among firms, productivity, growth and exports. This project will examine determinants and effects of enterprise entry and exit on growth, export and productivity in Australian industry using innovative panel enterprise data sets which have been collated and linked from existing ABS surveys, administrative data and accounting data. Currently, there is only one short longitudinal en ....The evolution of Australian enterprises, 1990 to 2007 : An empirical analysis of the relationship between turbulence among firms, productivity, growth and exports. This project will examine determinants and effects of enterprise entry and exit on growth, export and productivity in Australian industry using innovative panel enterprise data sets which have been collated and linked from existing ABS surveys, administrative data and accounting data. Currently, there is only one short longitudinal enterprise data set in Australia. Further data sets are required if policy makers are to understand patterns and causes of growth and business survival in Australia. Understanding provided from these studies should significantly improve our undertanding of how businesses perform.Read moreRead less