Preventing Exfiltration of Sensitive Data by Malicious Insiders or Malwares. Data exfiltration is a serious threat as highlighted in recent leakage of sensitive data that resulted in huge economic losses as well as unprecedented breaches of national security. The aim of this project is to develop a comprehensive and robust solution for detection and prevention of sensitive data exfiltration attempts by malware and unauthorised human users. Expected outcomes include scalable monitoring methods an ....Preventing Exfiltration of Sensitive Data by Malicious Insiders or Malwares. Data exfiltration is a serious threat as highlighted in recent leakage of sensitive data that resulted in huge economic losses as well as unprecedented breaches of national security. The aim of this project is to develop a comprehensive and robust solution for detection and prevention of sensitive data exfiltration attempts by malware and unauthorised human users. Expected outcomes include scalable monitoring methods and efficient algorithms that will be able to prevent real-time exfiltration and identify previously undetected exfiltration of sensitive data. This should provide significant benefits to governments, defence networks as well as businesses and health sectors, as it will protect them from sophisticated cyber attacks.
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Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an ....Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an open-source tool that can capture precision correlations between deep code features and diverse vulnerabilities to pinpoint emerging vulnerabilities without the need for bug specifications. Significant benefits include greatly improved quality, reliability and security for modern software systems.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
Provable elimination of information leakage through timing channels. This project aims to develop techniques to solve the issue in information security of unauthorised information flow resulting from competition for shared hardware resources. The project will combine operating systems design, formal hardware models, information-flow reasoning and theorem proving to achieve a goal that is widely considered infeasible. The project is expected to result in a system that prevents leakage of critical ....Provable elimination of information leakage through timing channels. This project aims to develop techniques to solve the issue in information security of unauthorised information flow resulting from competition for shared hardware resources. The project will combine operating systems design, formal hardware models, information-flow reasoning and theorem proving to achieve a goal that is widely considered infeasible. The project is expected to result in a system that prevents leakage of critical information, such as encryption keys, through timing channels. This should prevent sophisticated attacks on public clouds, mobile devices and military-grade cross-domain devices.Read moreRead less
Optimal Robust Fitting under the Framework of LP-Type Problems. The project aims to develop algorithms to support the development of robust and accurate computer vision systems. Real-world visual data (images, videos) is inherently noisy and outlier prone. To build computer vision systems that work reliably in the real world, it is necessary to ensure that the underlying algorithms are robust and efficient. The project aims to devise novel algorithms that can compute the best possible result giv ....Optimal Robust Fitting under the Framework of LP-Type Problems. The project aims to develop algorithms to support the development of robust and accurate computer vision systems. Real-world visual data (images, videos) is inherently noisy and outlier prone. To build computer vision systems that work reliably in the real world, it is necessary to ensure that the underlying algorithms are robust and efficient. The project aims to devise novel algorithms that can compute the best possible result given the input data in a short amount of time. The expected outcomes would support the construction of reliable and accurate computer vision-based systems, such as large-scale 3-D reconstruction from photo collections, self-driving cars and domestic robots.Read moreRead less
Formal Specification and Realisation of Dynamic Reconfiguration in FPGA-based Systems. The project aims are:
to significantly advance our understanding of the key concepts needed to successfully exploit dynamic, run-time reconfigurable computing, a technology that is now becoming increasingly available due to developments in FPGA (Field Progammable Gate Array) devices, and
the development of an innovative high-level programming environment that will include a language, associated design method ....Formal Specification and Realisation of Dynamic Reconfiguration in FPGA-based Systems. The project aims are:
to significantly advance our understanding of the key concepts needed to successfully exploit dynamic, run-time reconfigurable computing, a technology that is now becoming increasingly available due to developments in FPGA (Field Progammable Gate Array) devices, and
the development of an innovative high-level programming environment that will include a language, associated design methodologies, compilation techniques, and run-time support that will make dynamic reconfigurable computing accessible to a wide community of potential users.
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WAVELET-BASED MODELLING AND MODEL PREDICTIVE CONTROL OF COMPLEX MULTIDIMENSIONAL CRYSTALLISATION PROCESSES. The results of this project will directly contribute to a better understanding of crystallisation which is an important unit operation to achieve high purity separations. Many Australian industries for example, mineral processing, sugar processing, pharmaceuticals, etc will benefit from the results in order to enhance optimal operation and control to ensure globally competitive production ....WAVELET-BASED MODELLING AND MODEL PREDICTIVE CONTROL OF COMPLEX MULTIDIMENSIONAL CRYSTALLISATION PROCESSES. The results of this project will directly contribute to a better understanding of crystallisation which is an important unit operation to achieve high purity separations. Many Australian industries for example, mineral processing, sugar processing, pharmaceuticals, etc will benefit from the results in order to enhance optimal operation and control to ensure globally competitive production which is on time, minimize wastes and raw materials and inventories. The leading edge results will increase the contributions of these industries to the Australian economy and our global competitiveness necessary to maintain our culture and the beauty of our environment. Read moreRead less
A deep survey for compact structure in the nearby universe: key science for the upgraded Australian Long Baseline Array. This project uses advances in ICT to build a national and international network of facilities that includes existing telescopes primarily on the east coast of Australia, as well as planned facilities in Western Australia and New Zealand. One of these facilities, the New Technology Demonstrator, is a crucial part of Australia's roadmap to the Square Kilometre Array. The SKA-r ....A deep survey for compact structure in the nearby universe: key science for the upgraded Australian Long Baseline Array. This project uses advances in ICT to build a national and international network of facilities that includes existing telescopes primarily on the east coast of Australia, as well as planned facilities in Western Australia and New Zealand. One of these facilities, the New Technology Demonstrator, is a crucial part of Australia's roadmap to the Square Kilometre Array. The SKA-related science and technology demonstrations we will undertake as part of this project will contribute to Australia's bid to host this $US1b instrument. This project cements a significant Trans-Tasman collaboration and brings together researchers in astrophysics and ICT to give Australia a leading position in the field of eVLBI.Read moreRead less
Efficient Computational Methods for Constrained Path Problems. We consider a class of path design problems which arise when an object needs to traverse between two points through a specified region. The region may be a continuous space or the path may be restricted to the edges of a network. The path must optimise a prescribed criterion such
as risk, reliability or cost and satisfy a number of constraints.
Problems of this type readily arise in the defence, transport and
communication i ....Efficient Computational Methods for Constrained Path Problems. We consider a class of path design problems which arise when an object needs to traverse between two points through a specified region. The region may be a continuous space or the path may be restricted to the edges of a network. The path must optimise a prescribed criterion such
as risk, reliability or cost and satisfy a number of constraints.
Problems of this type readily arise in the defence, transport and
communication industries. In addition to efficient solution methods
for these problems the project will produce computational tools for
a wide range of related network routing problems.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