Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0668447
Funder
Australian Research Council
Funding Amount
$320,000.00
Summary
Enterprise Grid Laboratory. Parallel and distributed processing can improve company profit, lower costs of design, production and deployment of new technologies, and create better business environments. To achieve this, new inexpensive parallel and distributed systems are needed. Research and initial developments show that such systems can be built based on enterprise grids. The understanding of enterprise grids, and in particular their operating systems, scheduling algorithms, load balancing, h ....Enterprise Grid Laboratory. Parallel and distributed processing can improve company profit, lower costs of design, production and deployment of new technologies, and create better business environments. To achieve this, new inexpensive parallel and distributed systems are needed. Research and initial developments show that such systems can be built based on enterprise grids. The understanding of enterprise grids, and in particular their operating systems, scheduling algorithms, load balancing, heterogeneity, transparency, applications deployment, is of the most critical importance for their development and taking them by industry and business. The new laboratory funded by this grant will place Australia at the forefront of research into the future generation of grids.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100019
Funder
Australian Research Council
Funding Amount
$408,000.00
Summary
A Scalable and Adaptive-Resilient Blockchain. This project aims to address the security and scalability challenges that limit blockchain adoption. Existing blockchains do not scale and are vulnerable to attacks (e.g. with a total loss of over US$1 billion in 2019). This project expects to improve security by adaptively enforcing the currently broken security assumptions, and to improve scalability by designing blockchains with high concurrency via relaxed criteria on the ordering of transactions ....A Scalable and Adaptive-Resilient Blockchain. This project aims to address the security and scalability challenges that limit blockchain adoption. Existing blockchains do not scale and are vulnerable to attacks (e.g. with a total loss of over US$1 billion in 2019). This project expects to improve security by adaptively enforcing the currently broken security assumptions, and to improve scalability by designing blockchains with high concurrency via relaxed criteria on the ordering of transactions. The expected outcomes include foundations and practical solutions for self-adaptive, secure and scalable blockchains. The benefits of this would be improved confidence in and capacity for building blockchain applications, which have a predicted value of over US$3.1 trillion by 2030.Read moreRead less
Quality of Service-based Scheduling of e-Research Application Workflows on Global Grids. e-Research has the potential to offer Australia significant economic and social benefits as it enables researchers from different disciplines and organisations to engage in collaborative scientific investigation. In e-Research environments, users need to have secure access to remote resources owned by different organisations. Since these resources are not directly under the control of e-Research applications ....Quality of Service-based Scheduling of e-Research Application Workflows on Global Grids. e-Research has the potential to offer Australia significant economic and social benefits as it enables researchers from different disciplines and organisations to engage in collaborative scientific investigation. In e-Research environments, users need to have secure access to remote resources owned by different organisations. Since these resources are not directly under the control of e-Research applications, they need to negotiate with resource providers for access time, duration, and the level of quality of service expected to make sure that the interlinked operations are performed as required. This project develops information and communications technologies that enable the creation of such e-Research environments.Read moreRead less
Towards full lifecycle privacy protection on cloud. Privacy protection in user data on cloud is now at risk throughout all stages of user information lifecycle facing significant challenges such as stage adaptive protection, across-system protection, privacy invasion tracing and prediction. Current approaches mainly focus on a specific case at certain stage, hence cannot address those challenges properly by considering all stages. This project aims to systematically investigate those challenges ....Towards full lifecycle privacy protection on cloud. Privacy protection in user data on cloud is now at risk throughout all stages of user information lifecycle facing significant challenges such as stage adaptive protection, across-system protection, privacy invasion tracing and prediction. Current approaches mainly focus on a specific case at certain stage, hence cannot address those challenges properly by considering all stages. This project aims to systematically investigate those challenges and expects to establish innovative research and solutions for enabling full lifecycle privacy protection on cloud. The project outcomes will help to safeguard Australian community in fast-growing online cyber world, and benefit to fast-growing privacy sensitive data hosting and applications on cloud.Read moreRead less
Special Research Initiatives - Grant ID: SR0566976
Funder
Australian Research Council
Funding Amount
$50,000.00
Summary
eScience and Climate: Using Grid technology to build capacity in studies of Australian climate variability. Australia possesses capability in the area of palaeoclimate modelling, but efforts to understand our past natural climate variations are hampered by the computational profligacy of such models. Further, Australia does not possess a capability in intermediate complexity models which would allow experiments that take account of tectonic time scales. This initiative aims to develop a framewor ....eScience and Climate: Using Grid technology to build capacity in studies of Australian climate variability. Australia possesses capability in the area of palaeoclimate modelling, but efforts to understand our past natural climate variations are hampered by the computational profligacy of such models. Further, Australia does not possess a capability in intermediate complexity models which would allow experiments that take account of tectonic time scales. This initiative aims to develop a framework to allow the integration of climate system models with grid computing approaches (such as Nimrod/G) and test this framework on a pilot study of the Australian palaeomonsoon system. In addition, we will use this initiative to develop international linkages to enhance our ability to address problems of importance to Australian natural climate variability.Read moreRead less
Metamorphic slices and their applications in fault localization. The main purpose of this project is to enhance the quality of software. The expected outcomes include the delivery of new cost-effective methods to debug software, and the extension of current debugging methods to be applicable in wider contexts.
Special Research Initiatives - Grant ID: SR0567533
Funder
Australian Research Council
Funding Amount
$120,000.00
Summary
Scientific Instruments as ICT Components in Building a GrEMLIN for e-Research. The proposal seeks to initiate the development of a GrEMLIN, a Grid Enabled Multi-Level Instrument Network, for e-Research. Scientific instruments, whether at conventional laboratories or at major facilities, may be regarded as specialised ICT components in a network providing remote access to such instrumentation. Collaborative remote access and data analysis brings efficiency and effectiveness dividends, that can ....Scientific Instruments as ICT Components in Building a GrEMLIN for e-Research. The proposal seeks to initiate the development of a GrEMLIN, a Grid Enabled Multi-Level Instrument Network, for e-Research. Scientific instruments, whether at conventional laboratories or at major facilities, may be regarded as specialised ICT components in a network providing remote access to such instrumentation. Collaborative remote access and data analysis brings efficiency and effectiveness dividends, that can be enhanced through the harnessing of Grid technologies. The collaborative project will leverage middleware, Web Services and e-Science software developments in the US and UK, to provide Grid enabled remote instrument access and data analysis as a powerful e-Research tool.Read moreRead less
Eat and Dream: effective automatic testing and debugging for real-life embedded wireless communications software. Embedded software is a key enabling technology for the majority of Australian manufacturing industries, including strategically important sectors such as the automotive industry. Embedded wireless communication technologies are playing an increasingly significant role in Australia with a wide range of critical applications ranging from natural disaster early warning to personal healt ....Eat and Dream: effective automatic testing and debugging for real-life embedded wireless communications software. Embedded software is a key enabling technology for the majority of Australian manufacturing industries, including strategically important sectors such as the automotive industry. Embedded wireless communication technologies are playing an increasingly significant role in Australia with a wide range of critical applications ranging from natural disaster early warning to personal health monitoring. Embedded wireless communications software, however, is difficult to test and debug owing to the complexity of the operational environment and complications arising from the interplay between software and hardware. This project will develop an effective and automatic technology to alleviate these difficulties and achieve higher quality software.Read moreRead less
Privacy-preserving online user matching. This project aims to develop efficient techniques to preserve the privacy of users of online matching websites used for finding employment, friends and partners. The project expects to generate new knowledge in privacy preserving user matching with multiple servers. The expected outcomes are new techniques that can find matching users without revealing their interests to the matching server and a prototype based on these techniques. This should alleviate ....Privacy-preserving online user matching. This project aims to develop efficient techniques to preserve the privacy of users of online matching websites used for finding employment, friends and partners. The project expects to generate new knowledge in privacy preserving user matching with multiple servers. The expected outcomes are new techniques that can find matching users without revealing their interests to the matching server and a prototype based on these techniques. This should alleviate the privacy concerns of people using online tools that require providing personal information.Read moreRead less
Defending AI based FinTech Systems against Model Extraction Attacks. This project aims to develop new methods for defending artificial intelligence (AI) based FinTech systems from highly potent and insidious model extraction attacks whereby an adversary can steal the AI model from the system to cause intellectual property (IP) violation, business advantage disruption, and financial loss. This can be achieved by examining various attack models, creating active and utility-preserving defences, and ....Defending AI based FinTech Systems against Model Extraction Attacks. This project aims to develop new methods for defending artificial intelligence (AI) based FinTech systems from highly potent and insidious model extraction attacks whereby an adversary can steal the AI model from the system to cause intellectual property (IP) violation, business advantage disruption, and financial loss. This can be achieved by examining various attack models, creating active and utility-preserving defences, and inventing non-removable watermarks on AI models. The outcomes are new tools for securing AI-based FinTech systems before deployment and tools for IP violation forensics post-deployment. Such capabilities are beneficial by improving the security and safety of FinTech systems and other nationally critical AI systems.Read moreRead less