Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100121
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Three-dimensional super-resolution nanophotonic fabrication facility. This stimulated emission depletion microscopy nanophotonic fabrication facility will be the first nanophotonic fabrication facility that is able to achieve optical resolution far beyond the diffraction limit, which will facilitate breakthroughs in cutting-edge nanotechnology research areas.
Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including comm ....Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including communications and navigational satellites, in Earth’s orbit from collisions and covert sabotage. Increased space use by government and civilian agencies opens up opportunities for the space industry. This project is expected to develop Australia’s space surveillance capabilities, protect space assets and capture a growing market.Read moreRead less
Developing Reliable Bio-Crypto Features for Mobile Template Protection. Cost of identity theft crimes were at multi-million dollars in Australia in 2007. Technically this is due to the fact that conventional personal identification number and token based security mechanisms cannot identify genuine users. Biometric fingerprint security systems emerge as a promising solution. However protection of the mobile embedded fingerprint template itself is an unresolved problem. The project aims to devel ....Developing Reliable Bio-Crypto Features for Mobile Template Protection. Cost of identity theft crimes were at multi-million dollars in Australia in 2007. Technically this is due to the fact that conventional personal identification number and token based security mechanisms cannot identify genuine users. Biometric fingerprint security systems emerge as a promising solution. However protection of the mobile embedded fingerprint template itself is an unresolved problem. The project aims to develop new ways designing bio-cryptosystems that provide strong security strength. The project will bring new body of knowledge into this field and place Australia in the forefront of this research, and also result in strengthened security of IT infrastructure and systems for industries.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100003
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
3D Nanofabrication and Nanocharacterisation facility. This project aims to establish a revolutionary nanoscale fabrication and characterisation facility in Australia. The facility is an angle-based nanoscale etching system with integrated chemical analysis capabilities and will be the first instrument of its kind in Australia. The facility will enable unprecedented fabrication and characterisation of 3D nanostructures and new device geometries from semiconductors, oxides and metals that underpin ....3D Nanofabrication and Nanocharacterisation facility. This project aims to establish a revolutionary nanoscale fabrication and characterisation facility in Australia. The facility is an angle-based nanoscale etching system with integrated chemical analysis capabilities and will be the first instrument of its kind in Australia. The facility will enable unprecedented fabrication and characterisation of 3D nanostructures and new device geometries from semiconductors, oxides and metals that underpin modern nanoelectronics for innovative energy, nano-optical and quantum device applications. This unique equipment will facilitate breakthrough discoveries in nanomaterials, and foster collaborations amongst Australian researchers to accelerate industry in advanced nanodevice technologies.Read moreRead less
A theoretical framework for practical partial fingerprint identification. Fingerprints captured from a crime scene are often partial and poor quality which makes it difficult to identify the criminal suspects from large databases. This project will find mathematical models which can estimate the missing information located in the blank areas of a partial fingerprint and effectively identify it.
Designing Distributed Intrusion Detection Systems for Critical Industrial Infrastructures. SCADA systems are computerized systems that control and monitor industrial and critical infrastructures, such as power grid, gas and water facilities and nuclear power plants. Many cyber-attacks on SCADA systems make such systems vulnerable. Also there is an increasing risk that SCADA vulnerabilities could be exploited by terrorist organizations. The security of SCADA systems of critical infrastructures ha ....Designing Distributed Intrusion Detection Systems for Critical Industrial Infrastructures. SCADA systems are computerized systems that control and monitor industrial and critical infrastructures, such as power grid, gas and water facilities and nuclear power plants. Many cyber-attacks on SCADA systems make such systems vulnerable. Also there is an increasing risk that SCADA vulnerabilities could be exploited by terrorist organizations. The security of SCADA systems of critical infrastructures has enormous and direct impact to our national security, economy and social life because of potential disasters that could happen from natural causes as well as malicious attacks. This project aims to investigate the relevant issues and provide efficient and reliable technological solutions to detect and prevent such problems.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100006
Funder
Australian Research Council
Funding Amount
$1,060,000.00
Summary
Ultra-high resolution focussed ion beam facility for Western Australia. Ultra-high resolution focussed ion beam facility: An ultra-high resolution dual beam facility (incorporating ion and electron beams) will provide 3D imaging, site-specific analysis and nano-machining to a wide range of internationally recognised Australian researchers across a broad spectrum of disciplines in the geosciences, engineering, biological and physical sciences. Providing critically needed access to this world-clas ....Ultra-high resolution focussed ion beam facility for Western Australia. Ultra-high resolution focussed ion beam facility: An ultra-high resolution dual beam facility (incorporating ion and electron beams) will provide 3D imaging, site-specific analysis and nano-machining to a wide range of internationally recognised Australian researchers across a broad spectrum of disciplines in the geosciences, engineering, biological and physical sciences. Providing critically needed access to this world-class infrastructure is expected to advance international competitiveness, leading to high-impact outcomes in smart materials, nanotechnology, bioscience, and geoscience, including support for the Australian resources sector.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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100156
Funder
Australian Research Council
Funding Amount
$210,000.00
Summary
Computational infrastructure for machine learning in computer vision. The many trillions of images stored on computers around the world, including more than 100 billion on Facebook alone, represent exactly the information needed to develop artificial vision. All we need do is extract it. This project will develop the computational infrastructure required to allow Australian researchers to achieve this goal.