Protecting the Australian passport by developing face recognition training programs that effectively integrate human operators and machine systems. The security of the Australian passport is vital to the fight against crime and terrorism. This project will help detect identity fraud in passport applications by developing training programs drawing on the psychology of face processing to optimally combine human decision making with machine face recognition systems to maximise fraud detection.
Towards optimal face identification systems. This project aims to improve face identification accuracy at a system level. Reliable face identification is critical in security, police and judicial processes. The project will inform policy in the recruitment, training and workflow design underpinning the secure issuance of Australian passports. Expected outcomes of the project will include social and economic gains such as improved efficiency and reliability of key government services. The knowled ....Towards optimal face identification systems. This project aims to improve face identification accuracy at a system level. Reliable face identification is critical in security, police and judicial processes. The project will inform policy in the recruitment, training and workflow design underpinning the secure issuance of Australian passports. Expected outcomes of the project will include social and economic gains such as improved efficiency and reliability of key government services. The knowledge gained as a result of the project in perceptual and cognitive processes will strengthen legal systems and national security by minimising the risk of identification errors in critical roles.Read moreRead less
Detecting identity fraud in passport applications: Improving human operator performance through better understanding of unfamiliar face processing. The passport is a vital link in the defence of Australia against terrorism and crime. In this project researchers will work with the Department of Foreign Affairs and Trade to improve the ability of staff to detect identity fraud in passport applications, thus helping to protect the integrity of the Australian passport as a trusted identity document.
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
Exploiting the Symmetry of Spatial Awareness for 21st Century Automation. This project aims to enable autonomous robotic systems to operate more robustly and more reliably in the complex, cluttered and dynamic environments found in real-world applications. Applying the latest understanding of symmetry in non-linear systems and control provides tools that can be used to develop new design methodologies for spatial awareness algorithms. The outcomes of this project should increase Australia's ca ....Exploiting the Symmetry of Spatial Awareness for 21st Century Automation. This project aims to enable autonomous robotic systems to operate more robustly and more reliably in the complex, cluttered and dynamic environments found in real-world applications. Applying the latest understanding of symmetry in non-linear systems and control provides tools that can be used to develop new design methodologies for spatial awareness algorithms. The outcomes of this project should increase Australia's capacity in high-tech systems and deliver world best open source code for spatial awareness problems to enable the next generation of automation in Australia.Read moreRead less