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
ARC Communications Research Network. Building on a strong platform of existing research excellence, the Aim of the Network is to facilitate nation-wide collaborative research, promoting four intersecting research Themes: Mobile and Wireless Communications, Rural Communications, Broadband and Optical Networks, and Fundamentals of Emerging Media. Each Theme is formulated to drive multidisciplinary, innovative research as well as inspire new collaborative initiatives. Four Programs encapsulate the ....ARC Communications Research Network. Building on a strong platform of existing research excellence, the Aim of the Network is to facilitate nation-wide collaborative research, promoting four intersecting research Themes: Mobile and Wireless Communications, Rural Communications, Broadband and Optical Networks, and Fundamentals of Emerging Media. Each Theme is formulated to drive multidisciplinary, innovative research as well as inspire new collaborative initiatives. Four Programs encapsulate the core activities of the Network: Researcher Mobility, Workshops and Conferences, Postgraduate Education, and Knowledge Management Systems. The Network is expected to add significant value to pre-existing investments and raise the profile of Australian telecommunications research.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150101393
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Genetic and epigenetic drivers of the Australian cane toad invasion. Although invasive species are a massive threat to biodiversity, and costly to society, we still do not understand the evolutionary processes that shape invasions. Invasive populations often show rapid evolutionary change in novel environments but attempts to identify the underlying genetic mechanisms have been largely unsuccessful. This project aims to explore an innovative and untested alternative possibility: that invader evo ....Genetic and epigenetic drivers of the Australian cane toad invasion. Although invasive species are a massive threat to biodiversity, and costly to society, we still do not understand the evolutionary processes that shape invasions. Invasive populations often show rapid evolutionary change in novel environments but attempts to identify the underlying genetic mechanisms have been largely unsuccessful. This project aims to explore an innovative and untested alternative possibility: that invader evolution is primarily driven by epigenetic change. Using an iconic Australian invasive species, the cane toad, the project aims to quantify genetic and epigenetic change across the invasion and use manipulative experiments to determine the influence of epigenetic change on the evolution of phenotypic traits important to invasion.Read moreRead less
Buffering the ecosystem impact of invasive cane toads. This project aims to address the devastating ecological problems caused by invasive species, by developing a novel approach that does not rely upon eradicating the invader through training vulnerable native predators not to eat toxic cane toads. Expected outcomes of this project include building a broad coalition of conservation-focused groups, from private land-owners and local businesses through to Indigenous groups and government and non- ....Buffering the ecosystem impact of invasive cane toads. This project aims to address the devastating ecological problems caused by invasive species, by developing a novel approach that does not rely upon eradicating the invader through training vulnerable native predators not to eat toxic cane toads. Expected outcomes of this project include building a broad coalition of conservation-focused groups, from private land-owners and local businesses through to Indigenous groups and government and non-government agencies across the entire Kimberley region. It will also result in the evaluation of methods for deployment of taste-aversion at a landscape scale. This should provide significant benefits by conserving vulnerable fauna and building a powerful network within a region of high biodiversity in tropical Australia.Read moreRead less
DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting th ....DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting the attractiveness and evolving the system. The project expects to advance deep learning and yield novel DeepHoney technologies with associated publications and open-source software. This should benefit science, society, and the economy by building the next generation of active cyber defence systems. Read moreRead less
Methodologies for face recognition under varying imaging conditions. Face recognition systems are heavily dependent on the nature of the input to the system. Variability in appearance due to changes in illumination, expression, pose, etc. can reduce the recognition results of the existing systems. The aim of this project is to develop new techniques to improve the recognition accuracy in natural environment where unwanted image variations exist. The development of such techniques will be of grea ....Methodologies for face recognition under varying imaging conditions. Face recognition systems are heavily dependent on the nature of the input to the system. Variability in appearance due to changes in illumination, expression, pose, etc. can reduce the recognition results of the existing systems. The aim of this project is to develop new techniques to improve the recognition accuracy in natural environment where unwanted image variations exist. The development of such techniques will be of great importance to Australia's security and safety. The outcome of this research will provide the first steps towards formulating the next generation recognition systems that will improve the suitability of the face recognition for use in security, surveillance, intelligent robotics, banking, and smart environments.Read moreRead less
Extinction of turtles in the River Murray: Consequences and Solutions. Turtles are a major ecological component of the Murray-Darling, Australia’s major river system. They are declining alarmingly with potential dire consequences for water quality, biodiversity, and river health. This project unites a world-class research team with diverse industry partners, indigenous groups, and non-government organisations from three states to address a problem of national significance. This project aims to i ....Extinction of turtles in the River Murray: Consequences and Solutions. Turtles are a major ecological component of the Murray-Darling, Australia’s major river system. They are declining alarmingly with potential dire consequences for water quality, biodiversity, and river health. This project unites a world-class research team with diverse industry partners, indigenous groups, and non-government organisations from three states to address a problem of national significance. This project aims to identify and quantify causes of declines in turtles along the whole system, with the aim of developing practical management options to overcome it. This will be the first river-wide study of turtles, achieved by combining cutting-edge genetic and ecological techniques with a citizen science program.Read moreRead less
Combating Fake News on Social Media: From Early Detection to Intervention. The project aims to detect fake news early to minimise the negative impact of false information. This project expects to devise novel solutions to address technical challenges for detection of fake news with scarce signals. Expected outcomes of this project include a suite of data mining and machine learning models for identification of fake news from the social media stream, prediction of user propagation of false infor ....Combating Fake News on Social Media: From Early Detection to Intervention. The project aims to detect fake news early to minimise the negative impact of false information. This project expects to devise novel solutions to address technical challenges for detection of fake news with scarce signals. Expected outcomes of this project include a suite of data mining and machine learning models for identification of fake news from the social media stream, prediction of user propagation of false information as well as recommendation of truthful news to counteract adversarial fake news. This project should generate technologies that enhance the integrity of the online echo system and benefit media providers and online population within Australia and across the world. 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