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
Adaptive multispectral imaging system for remote sensing applications. The many applications of remote sensing include environmental/crop monitoring, oil/mineral exploration, and aerospace/defence. However, remote sensing stands to benefit greatly from infrared spectral imaging devices. This project will develop the technology for an infrared spectral imaging system, suitable for numerous remote sensing applications.
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
Online violent extremist audiences in Australia and the United Kingdom. This project aims to develop an understanding of the role and influence of the internet on violent extremism. It plans to use mixed methods to investigate the ways in which online messages are received and interpreted and the contexts within which this occurs. It plans to apply an innovative research framework using media theories and concepts to the study of online violent extremism. The project aims to contribute to the de ....Online violent extremist audiences in Australia and the United Kingdom. This project aims to develop an understanding of the role and influence of the internet on violent extremism. It plans to use mixed methods to investigate the ways in which online messages are received and interpreted and the contexts within which this occurs. It plans to apply an innovative research framework using media theories and concepts to the study of online violent extremism. The project aims to contribute to the development of measures to counter violent extremism by addressing assumptions about the relationship between online violent extremist content and violent extremist behaviour; and developing understanding of how violent extremist messaging is received and interpreted.Read moreRead less
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
Discovery Early Career Researcher Award - Grant ID: DE170101081
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Adaptive value-flow analysis to improve code reliability and security. This project aims to develop client-driven adaptive value-flow analysis to detect software bugs in system software written in the C/C++ programme language. Static analysis tools for automated code inspections can benefit software developers, but are imprecise, inefficient and not user-friendly for analysing real-world industrial-sized software. The project will investigate static, dynamic and user-guided value-flow analysis t ....Adaptive value-flow analysis to improve code reliability and security. This project aims to develop client-driven adaptive value-flow analysis to detect software bugs in system software written in the C/C++ programme language. Static analysis tools for automated code inspections can benefit software developers, but are imprecise, inefficient and not user-friendly for analysing real-world industrial-sized software. The project will investigate static, dynamic and user-guided value-flow analysis to efficiently and precisely analyse large-scale programs according to clients’ needs, thereby allowing compilers to generate safe, reliable and secure code. This project is expected to advance value-flow analysis for industrial-sized software, improve software reliability and security, and benefit Australian software systems and industries.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100400
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Collective action and resistance to terrorism: construction of the Bali Peace Park as counter-terrorism. This project will explore how the Bali Peace Park functions as a mechanism for collective resistance to terrorism. It will explore how individuals and communities engage with the Peace Park as a form of counter terrorism. The project will contribute to an understanding of how governments and societies can counter the social impact of terrorism.
Modelling human decision making in complex environments. The project aims to extend quantitative psychological models of simple choice tasks to decision-making with complex stimuli in complex environments. The new formal models are designed to provide a comprehensive account of behaviour, including the choices that are made, how long it takes to make them, and how choices and choice times vary within and between decision-makers. The models would explain how people adapt to changes in task demand ....Modelling human decision making in complex environments. The project aims to extend quantitative psychological models of simple choice tasks to decision-making with complex stimuli in complex environments. The new formal models are designed to provide a comprehensive account of behaviour, including the choices that are made, how long it takes to make them, and how choices and choice times vary within and between decision-makers. The models would explain how people adapt to changes in task demands when dealing with multiple stimuli or performing multiple tasks concurrently under time pressure. The project aims to provide the basic research that is needed to extend psychological models of choice to complex ‘real-world’ tasks, such air traffic control and maritime surveillance.Read moreRead less
Defect engineering in molecular beam epitaxy-grown mercury cadmium telluride. This project aims to develop high quality mercury cadmium telluride (HgCdTe) materials with lower defect density and lower background doping levels. This will enable future, high-performance, lower-cost infrared sensors with the unique features of higher yield, larger array size and higher operating temperature. The project will generate new science and technologies on defect engineering in the epitaxial growth of sem ....Defect engineering in molecular beam epitaxy-grown mercury cadmium telluride. This project aims to develop high quality mercury cadmium telluride (HgCdTe) materials with lower defect density and lower background doping levels. This will enable future, high-performance, lower-cost infrared sensors with the unique features of higher yield, larger array size and higher operating temperature. The project will generate new science and technologies on defect engineering in the epitaxial growth of semiconducting HgCdTe on cadmium zinc telluride (CdZnTe) substrates. This will contribute to the development of core Australian industry sectors such as defence, environmental monitoring, medical imaging, earth remote sensing, mining, and oil and gas.Read moreRead less
An investigation of novel Microelectromechanical Systems based technologies for visible/near infra-red spectroscopic imaging. This project will develop new spectroscopic imaging technologies that make possible low-cost, portable instruments with enhanced performance, and that enable new applications. Examples include on-farm precision agriculture, skin cancer detection, food security and processing, airport security, pollution monitoring and industrial process control.