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
Structural-functional connectivity in the brain. This project aims to develop magnetic resonance imaging analysis methods to non-invasively study brain connectivity. Recent advances in imaging can comprehensively describe the brain’s complex network of functional and structural connections (the brain ‘connectome’). This project will simultaneously investigate structural and functional connectivity, and characterise the dynamic properties of the connectome using graph-theoretic approaches. This p ....Structural-functional connectivity in the brain. This project aims to develop magnetic resonance imaging analysis methods to non-invasively study brain connectivity. Recent advances in imaging can comprehensively describe the brain’s complex network of functional and structural connections (the brain ‘connectome’). This project will simultaneously investigate structural and functional connectivity, and characterise the dynamic properties of the connectome using graph-theoretic approaches. This project should give neuroscientists computational tools to comprehensively map the network architecture of the human brain.Read moreRead less
Elucidating the post-transcriptional regulation of mast cell proteases. Mast cells (MCs) are immune cells that protect against pathogens but may induce deleterious inflammation. MC function is mediated by specific proteases that are pre-formed and stored in granules. These proteases have unique yet poorly understood mechanisms of regulation. The aim of the project is to use a novel suite of molecular tools and genetically modified mice to identify the critical regions of transcripts that post-tr ....Elucidating the post-transcriptional regulation of mast cell proteases. Mast cells (MCs) are immune cells that protect against pathogens but may induce deleterious inflammation. MC function is mediated by specific proteases that are pre-formed and stored in granules. These proteases have unique yet poorly understood mechanisms of regulation. The aim of the project is to use a novel suite of molecular tools and genetically modified mice to identify the critical regions of transcripts that post-transcriptionally regulate the production and storage of these proteins. The project aims to identify the RNA binding proteins, microRNAs and other novel factors that also regulate them. This is expected to elucidate the post-transcriptional mechanisms of regulation of MC proteases.Read moreRead less
Reputation-based Trust Framework for Composed Services. This project aims at providing a uniform and efficient framework for bootstrapping, establishing, and propagating reputation in composed Web services. Reputation is used as a key criterion for establishing trust among composed Web services. Web services are de-facto the technology of choice for the deployment of an increasing number of Web-based solutions for such emerging applications as cloud computing. Because of the distributed and dece ....Reputation-based Trust Framework for Composed Services. This project aims at providing a uniform and efficient framework for bootstrapping, establishing, and propagating reputation in composed Web services. Reputation is used as a key criterion for establishing trust among composed Web services. Web services are de-facto the technology of choice for the deployment of an increasing number of Web-based solutions for such emerging applications as cloud computing. Because of the distributed and decentralised nature of the Web, there is a need to establish a trust framework for selecting and composing Web services. The key parameter will be based on Web service reputation in delivering services.Read moreRead less
Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while pres ....Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while preserving the data privacy. These tools should provide significant benefits to the privacy of cloud users, as well as financial and reputation benefits to the IT industry, by significantly reducing the likelihood of massive user data privacy breaches in the event of a cyber-hacking attack on the cloud server.Read moreRead less
Intelligent Incident Management for Software-Intensive Systems. This project aims to develop intelligent incident management methods for software-intensive systems. Incidents are unplanned system interruptions or outages that could affect the normal operations of an organization and cause huge economic loss. This project expects to develop innovative, Artificial Intelligence (AI) based methods for automated incident management, including incident detection, incident identification, and incident ....Intelligent Incident Management for Software-Intensive Systems. This project aims to develop intelligent incident management methods for software-intensive systems. Incidents are unplanned system interruptions or outages that could affect the normal operations of an organization and cause huge economic loss. This project expects to develop innovative, Artificial Intelligence (AI) based methods for automated incident management, including incident detection, incident identification, and incident triage. Expected outcomes of the project include a set of novel methods and tools that can facilitate incident diagnosis and resolution. This project will provide significant benefits, such as improving the availability of software-intensive systems and reducing the economic loss caused by the incidents. Read moreRead less
Regulation of Stress Hormone Receptors in the Brain. Our research will provide information on how the brain controls our response to stress and will allow the development of targeted strategies to reduce the possibility during chronic stress of the development of conditions such as anxiety and depression. This will improve mental health outcomes in Australia and add to Australia's economic and social stability.
Mapping the connectome that controls blood pressure. The connections that an individual brain cell receives from other cells ultimately determines its behaviour. Using a revolutionary new technique, the project will create a map of the brain cells that control blood pressure.
Fundamental theoretical and experimental investigation of cartilage mechanics. Arthritis and chronic joint symptoms are one of the leading causes of disability in the community, yet a fundamental understanding of joint mechanics has yet to be realised. The aim of this project is to develop a new state-of-the-art mathematical model describing cartilage behaviour in humans. The model will explain how activities like walking maintain healthy cartilage by transferring growth factors through the tiss ....Fundamental theoretical and experimental investigation of cartilage mechanics. Arthritis and chronic joint symptoms are one of the leading causes of disability in the community, yet a fundamental understanding of joint mechanics has yet to be realised. The aim of this project is to develop a new state-of-the-art mathematical model describing cartilage behaviour in humans. The model will explain how activities like walking maintain healthy cartilage by transferring growth factors through the tissue, and quantitatively explain how wear is minimised in cartilage through weeping lubrication. This model will progress our understanding of cartilage mechanics in health and disease, and so help Australians age well and productively.Read moreRead less
Functional imaging of colour pathways in the living eye. In order to repair or regenerate a diseased eye, we require knowledge of the normal pattern or nerve cell connections, and knowing how biology solves the problem of colour vision can be used to improve the design of artificial vision systems. The adaptive optics machine we will build in this project can be used to image nerve cells, fine blood vessels, and nerve fibre bundles in the normal and diseased eye. This will improve Australia's re ....Functional imaging of colour pathways in the living eye. In order to repair or regenerate a diseased eye, we require knowledge of the normal pattern or nerve cell connections, and knowing how biology solves the problem of colour vision can be used to improve the design of artificial vision systems. The adaptive optics machine we will build in this project can be used to image nerve cells, fine blood vessels, and nerve fibre bundles in the normal and diseased eye. This will improve Australia's research and development capacity in this new area of medical diagnostics. Our machine will be made available to other Australian laboratories and will improve the national capacity for making further scientific discoveries about how the visual system works.Read moreRead less