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
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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Understanding vibratory piles in sand: installation and lateral response. This project aims to address uncertainties in the design of vibro-driven piles. This promising alternative to impact-driven piles offers faster installation and requires no noise mitigation. The project expects to generate new knowledge of the effect of the installation process in sand on in-service pile response by integrating findings from innovative experiments and numerical modelling. This is particularly important for ....Understanding vibratory piles in sand: installation and lateral response. This project aims to address uncertainties in the design of vibro-driven piles. This promising alternative to impact-driven piles offers faster installation and requires no noise mitigation. The project expects to generate new knowledge of the effect of the installation process in sand on in-service pile response by integrating findings from innovative experiments and numerical modelling. This is particularly important for highly sensitive structures such as offshore wind turbines, which provide a rapidly increasing share of global energy supply. Expected outcomes include practical recommendations for vibro-piles in sand. This should provide sizeable benefits by unlocking vibro-piles as a viable method to reduce offshore wind farm costs.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
New Silent Anchors for Floating Offshore Wind Turbines in Calcareous Sand . Reliable wind energy sites are in deeper waters and require offshore floating structures to harness the wind energy. Such floating structures require a reliable anchoring system that is secure and environmentally friendly. Calcareous sands, rich in carbonate content, pose unique challenges with their behaviour difficult to predict. In this project, a novel silent anchoring system is investigated that can be installed wit ....New Silent Anchors for Floating Offshore Wind Turbines in Calcareous Sand . Reliable wind energy sites are in deeper waters and require offshore floating structures to harness the wind energy. Such floating structures require a reliable anchoring system that is secure and environmentally friendly. Calcareous sands, rich in carbonate content, pose unique challenges with their behaviour difficult to predict. In this project, a novel silent anchoring system is investigated that can be installed with minimum noise and vibration compared to more traditional counterparts. Through the state of the art development in numerical modelling and centrifuge modelling, this project will advance Australian Science and Practice in designing floating wind turbines in carbonate rich soils offshore and help energy transition.Read moreRead less
Crusty Seabeds: From (Bio-)Genesis To Reliable Offshore Design. The project aims to make deep water oil and gas developments safer and cheaper by understanding better the unique seabed ‘crust’ conditions that occur in Australian waters. By studying the biogenic, structural and mechanical properties of deepwater crusts in more detail than can be done in ‘live’ oil and gas projects, this project expects to make a step change in the understanding of these seabed crusts. Expected outcomes of this pr ....Crusty Seabeds: From (Bio-)Genesis To Reliable Offshore Design. The project aims to make deep water oil and gas developments safer and cheaper by understanding better the unique seabed ‘crust’ conditions that occur in Australian waters. By studying the biogenic, structural and mechanical properties of deepwater crusts in more detail than can be done in ‘live’ oil and gas projects, this project expects to make a step change in the understanding of these seabed crusts. Expected outcomes of this project include developing new seabed investigation and design approaches for these soils. This should provide significant benefits, by facilitating the design and installation of low-risk, yet low cost seabed infrastructure (e.g. pipelines, risers, shallow foundations etc.) in these problematical seabed typesRead moreRead less
Reducing geotechnical design conservatism to secure floating wind energy. The next frontier for offshore wind energy is moving further out to sea to avail of stronger and more consistent wind speeds. In these water depths, wind turbines are installed on floaters tethered to anchors in the seabed. Geotechnical design of anchors is inherently conservative, having been shaped by technical and economic considerations of oil and gas facilities. The offshore wind energy industry cannot afford to adopt ....Reducing geotechnical design conservatism to secure floating wind energy. The next frontier for offshore wind energy is moving further out to sea to avail of stronger and more consistent wind speeds. In these water depths, wind turbines are installed on floaters tethered to anchors in the seabed. Geotechnical design of anchors is inherently conservative, having been shaped by technical and economic considerations of oil and gas facilities. The offshore wind energy industry cannot afford to adopt such conservatism if floating wind is to become commercially viable. This project will, through numerical developments, geotechnical centrifuge modelling and field testing, develop the science that will lead to a reliability-based geotechnical design approach to make floating offshore wind energy economic and viable.Read moreRead less
Unlocking new generation physical modelling with realistic soil response. This project will improve the safety and efficiency of geo-structures associated with offshore wind developments by better characterising and replicating the behaviour of carbonate sediments. Novel characterisation techniques will be used to better understand the links between the chemical and structural composition of the sediments and their engineering properties relevant to geotechnical design, and how to better replica ....Unlocking new generation physical modelling with realistic soil response. This project will improve the safety and efficiency of geo-structures associated with offshore wind developments by better characterising and replicating the behaviour of carbonate sediments. Novel characterisation techniques will be used to better understand the links between the chemical and structural composition of the sediments and their engineering properties relevant to geotechnical design, and how to better replicate carbonate sediment behaviour in a laboratory – an outcome that has eluded researchers for decades. The main outcomes of the project will be the development of soil sample reconstitution techniques enabling high-fidelity physical modelling to be undertaken to assist in the design offshore wind turbine foundations.Read moreRead less
Constricted hydraulic fracture opening. This project aims to develop experimentally verified models for designing and monitoring of hydraulic fractures with constricted openings, to ensure adequate and robust hydraulic fracture control for example in petroleum production. Hydraulic fractures are often constricted by bridges that hold two sides of the fracture together. Failure to account for bridges and constriction of fractures can lead to premature screen-out (exceeding available pump pressure ....Constricted hydraulic fracture opening. This project aims to develop experimentally verified models for designing and monitoring of hydraulic fractures with constricted openings, to ensure adequate and robust hydraulic fracture control for example in petroleum production. Hydraulic fractures are often constricted by bridges that hold two sides of the fracture together. Failure to account for bridges and constriction of fractures can lead to premature screen-out (exceeding available pump pressure) of proppant and inadequate fracking control. The project results are expected to substantially increase the accuracy of design and monitoring of fracture opening, geometry and fluid flow to improve efficiency, safety and environmental security of the resource and energy extraction.Read moreRead less
AI Assisted Probabilistic Structural Health Monitoring with Uncertain Data. This project aims to develop an advanced Artificial Intelligence (AI) assisted probabilistic structural health monitoring approach for civil engineering structures. The developed approach applies novel deep learning techniques with a large amount of data measured from uncertain and complex environment, for reliable structural condition monitoring and performance prediction. This project expects to make a step change in d ....AI Assisted Probabilistic Structural Health Monitoring with Uncertain Data. This project aims to develop an advanced Artificial Intelligence (AI) assisted probabilistic structural health monitoring approach for civil engineering structures. The developed approach applies novel deep learning techniques with a large amount of data measured from uncertain and complex environment, for reliable structural condition monitoring and performance prediction. This project expects to make a step change in data mining and interpretation. Expected outcomes of the project include novel AI assisted approaches to conduct probabilistic structural condition monitoring with sensitive features and future structural performance prediction. This will provide significant benefits to infrastructure asset owners to reduce maintenance costs.Read moreRead less