Expectations and commitments in the Australia-USA alliance. This project aims to investigate the gap between the high expectations of mutual support and the lack of detailed security commitments in the Australia-US Alliance. The project intends to use a focused approach that captures thematic aspects of the alliance through project frames and historical slices across time. Expected outcomes can advance understanding of how alliances operate as security institutions. The outcomes can help to prom ....Expectations and commitments in the Australia-USA alliance. This project aims to investigate the gap between the high expectations of mutual support and the lack of detailed security commitments in the Australia-US Alliance. The project intends to use a focused approach that captures thematic aspects of the alliance through project frames and historical slices across time. Expected outcomes can advance understanding of how alliances operate as security institutions. The outcomes can help to promote a more informed national conversation about the costs and benefits of Australia's security relationship with the United States of America (USA) and contribute to debates over the future of the Australia-USA Alliance during a period of strategic uncertainty.Read moreRead less
Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coord ....Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coordinated cyber-attacks that will potentially lead to catastrophic cascaded failures; and develop new solutions in detecting the false data-injection attacks that are conventionally considered as unobservable. This project will provide the benefit of enhancing our national critical infrastructure's security.Read moreRead less
Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor ....Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor authentication performance, which is not commercially applicable. This project aims to investigate innovative solutions to this issue. The intended deliverables will include deep learning based biometric feature extractor, cancellable biometrics and cloud oriented biometrics security protocols. Read moreRead less
Stochastic Assessment of Terrorist Blast and Fragmentation Casualty Risks. The project will develop probabilistic models to predict the likelihood and extent of casualties and other losses from terrorist car bombing threats. Car bombs comprise a large quantity of explosives, and produce primary fragments such as wheels, engine block, parts of door panels and other shrapnel that pose a serious safety hazard to people exposed in a street or other mass gatherings. An improved understanding of safet ....Stochastic Assessment of Terrorist Blast and Fragmentation Casualty Risks. The project will develop probabilistic models to predict the likelihood and extent of casualties and other losses from terrorist car bombing threats. Car bombs comprise a large quantity of explosives, and produce primary fragments such as wheels, engine block, parts of door panels and other shrapnel that pose a serious safety hazard to people exposed in a street or other mass gatherings. An improved understanding of safety risks will assist in setting safe evacuation distances. A quantitative assessment of terrorism risks will also allow the effectiveness of security measures to be assessed to provide cost-effective levels of protection that are acceptable to society.Read moreRead less
Biofilm responses to cold atmospheric plasma . This project is focused on understanding the interaction of cold atmospheric plasmas with biofilms, with the aim of biofilm eradication and ultimately offering an environmentally friendly alternative to current detergents and antibiotics. The research expects to elucidate the fundamental mechanisms of action for breakthrough plasma intervention technologies, which are sufficiently active to cope with the resistant nature of biofilms, yet are of low ....Biofilm responses to cold atmospheric plasma . This project is focused on understanding the interaction of cold atmospheric plasmas with biofilms, with the aim of biofilm eradication and ultimately offering an environmentally friendly alternative to current detergents and antibiotics. The research expects to elucidate the fundamental mechanisms of action for breakthrough plasma intervention technologies, which are sufficiently active to cope with the resistant nature of biofilms, yet are of low energy, do not adversely affect surface properties and critically leave no residual chemistry. This should provide significant benefits by delivering a new method to tackle the ubiquitous problem of biofilm contamination in food, water and medical areas.Read moreRead less
Towards New Functionality in Dairy Ingredients. The Australian dairy industry plays a significant part in the nation’s economy, with almost $3 billion in export revenue in 2016-2017. Powdered dairy products extend shelf life and ease of transport, with >20% annual growth in premium products, such as milk protein concentrates and infant formula powders. This project aims to support the development of value-added dairy powders by investigating the impact of a novel high pressure processing technol ....Towards New Functionality in Dairy Ingredients. The Australian dairy industry plays a significant part in the nation’s economy, with almost $3 billion in export revenue in 2016-2017. Powdered dairy products extend shelf life and ease of transport, with >20% annual growth in premium products, such as milk protein concentrates and infant formula powders. This project aims to support the development of value-added dairy powders by investigating the impact of a novel high pressure processing technology in enhancing the properties of dairy powders and/or introducing new functionality. Successful outcomes will help expand the offering of high value dairy ingredients and thus increase the global competitiveness of Australian dairy manufacturing.Read moreRead less
Deep Learning Attacks and Active Defences: A Cybersecurity Perspective. The belief that deep learning technology is imperative for economic development, military control, and strategic competitiveness has accelerated its development across the globe. However, experience has revealed the disappointing fact that deep learning models are vulnerable to a range of security attacks. Hence, a series of methodologies and defence strategies will be devised that make deep learning systems robust to these ....Deep Learning Attacks and Active Defences: A Cybersecurity Perspective. The belief that deep learning technology is imperative for economic development, military control, and strategic competitiveness has accelerated its development across the globe. However, experience has revealed the disappointing fact that deep learning models are vulnerable to a range of security attacks. Hence, a series of methodologies and defence strategies will be devised that make deep learning systems robust to these attacks. The methodologies require analysing attack lifecycles to identify them in their early stages. With this knowledge, active defence methods and forensic strategies can be developed to ensure efficient defences and prevent further attacks. Moreover, the outputs will be generalisable to most deep learning services.Read moreRead less
Balance and reinforcement: privacy and fairness in high intelligence models. The aim of this project is to develop a series of privacy preservation methods to achieve a new balance between privacy and fairness in highly accurate intelligence models. The main issue in achieving this goal is that high-accuracy intelligence technologies have resulted in significant privacy violations and are very vulnerable to issues of unfairness. This project will analyse the privacy risks associated with intelli ....Balance and reinforcement: privacy and fairness in high intelligence models. The aim of this project is to develop a series of privacy preservation methods to achieve a new balance between privacy and fairness in highly accurate intelligence models. The main issue in achieving this goal is that high-accuracy intelligence technologies have resulted in significant privacy violations and are very vulnerable to issues of unfairness. This project will analyse the privacy risks associated with intelligent systems and devise mechanisms to mutually reinforce both privacy and fairness based on the theoretical foundations laid by our analysis. These outcomes will enable model owners to effectively protect their intellectual property and offer services to users in a private, fair, and accurate manner.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
Improving International Law Regulation of Maritime Autonomous Vessels . The use of maritime autonomous vessels (MAVs) is creating regulatory and enforcement opportunities and challenges under international law. The aim of this project is to fill a critical gap in current responses in international law in focusing on the challenges posed by MAVs to international maritime security law. MAVs are increasingly useful for states in peacetime military operations, in response to transnational crime, mar ....Improving International Law Regulation of Maritime Autonomous Vessels . The use of maritime autonomous vessels (MAVs) is creating regulatory and enforcement opportunities and challenges under international law. The aim of this project is to fill a critical gap in current responses in international law in focusing on the challenges posed by MAVs to international maritime security law. MAVs are increasingly useful for states in peacetime military operations, in response to transnational crime, maritime cybersecurity, and in promoting broader national security goals, but non-state actors may also use them for terrorist and transnational criminal activity. International law has not kept up with this technology so this project will redress that problem and propose law reform to enhance global maritime security.Read moreRead less