Human interaction with context-aware computing systems. Context-aware systems can provide seamless support of IT applications in a variety of technologies and therefore can improve: (i) work performance and adoption of IT in many industries; and (ii) the quality of life through better support for health services, education, and everyday tasks. Currently proposed solutions for context-aware systems fail to deliver systems which are usable for non-IT professionals. The proposed project will show h ....Human interaction with context-aware computing systems. Context-aware systems can provide seamless support of IT applications in a variety of technologies and therefore can improve: (i) work performance and adoption of IT in many industries; and (ii) the quality of life through better support for health services, education, and everyday tasks. Currently proposed solutions for context-aware systems fail to deliver systems which are usable for non-IT professionals. The proposed project will show how to design context-aware systems that are usable and whose autonomic decisions can be trusted. Additional benefits include increased scientific competitiveness of Australia, strengthened collaboration with international research institutions, and high quality graduates (PhDs, Masters, Honours).Read moreRead less
Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlyin ....Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlying biological and biomedical processes, bringing sustainable discovery of new relationships and variations within the data. The project aims to support new approaches to medical diagnosis and treatment, and offer crucial lessons to address the broader challenge of understanding large, complex data sets.Read moreRead less
Diagnosis of Reference Flow Control Alerts for the Identification of Malicious Event Sequences (DiagRF). There are a reported two billion computer attacks worldwide per year. Many of these attacks require a skilled human to decipher them and to develop the "signatures" by which they can be detected. The main outcome of this project will be fundamental knowledge regarding how information flows can be tracked and then forensically analysed in a distributed computer system or network in order to ....Diagnosis of Reference Flow Control Alerts for the Identification of Malicious Event Sequences (DiagRF). There are a reported two billion computer attacks worldwide per year. Many of these attacks require a skilled human to decipher them and to develop the "signatures" by which they can be detected. The main outcome of this project will be fundamental knowledge regarding how information flows can be tracked and then forensically analysed in a distributed computer system or network in order to enable the automatic characterization of certain classes of attacks. This new approach will enable the automatic development of attack signatures and thus the detection of such attacks. The project will lead to the development of a prototype which implements the automatic analysis and characterization of such attacks to provide proof of concept.Read moreRead less
Reducing the risks associated with developing large-scale, critical software-integrated systems. Industry, government and defence increasingly rely on large-scale, critical software-integrated systems. The scale and complexity of these systems means current methods of analysing, designing and assuring their dependability are struggling to provide the constructive support and assurance that is demanded. Consequently, there are significant risks of cost and schedule overruns and of system problems ....Reducing the risks associated with developing large-scale, critical software-integrated systems. Industry, government and defence increasingly rely on large-scale, critical software-integrated systems. The scale and complexity of these systems means current methods of analysing, designing and assuring their dependability are struggling to provide the constructive support and assurance that is demanded. Consequently, there are significant risks of cost and schedule overruns and of system problems and failures. This project builds on results from our current collaboration - a new method for modelling, analysis and defect detection for the requirements of large-scale systems. We will develop and scale-up to industry strength, simpler, more powerful, strategies for analysing, designing and providing the high level of assurance required.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
Investigation of a Dynamic Collaborative Framework for Multi-Modal Devices. Modern business and society increasingly call for agility through the rapid formation of groups and collaboration of individuals. Mobile computing devices have the potential to enable this collaboration. However this is currently unrealised; software is not keeping up with hardware. This project aims to investigate techniques and software tools to provide an adaptive framework for multimedia-rich applications, which seam ....Investigation of a Dynamic Collaborative Framework for Multi-Modal Devices. Modern business and society increasingly call for agility through the rapid formation of groups and collaboration of individuals. Mobile computing devices have the potential to enable this collaboration. However this is currently unrealised; software is not keeping up with hardware. This project aims to investigate techniques and software tools to provide an adaptive framework for multimedia-rich applications, which seamlessly support collaboration through multi-modal communications between heterogenous mobile devices. This combination of multimedia, smart devices and advanced communications has the potential to revolutionise many key industries by making information available and manipulable in new and better ways.Read moreRead less
Cost-effective use of assertions in the verification and validation of distributed and real-time systems. The project will reinforce Australia as a world leader in empirical software engineering and software verification and validation research, thus building on Australia's strengths in ICT research and innovation. Through the involvement of a local software verification and validation company and through industrial case studies, this project will also improve the software verification and valid ....Cost-effective use of assertions in the verification and validation of distributed and real-time systems. The project will reinforce Australia as a world leader in empirical software engineering and software verification and validation research, thus building on Australia's strengths in ICT research and innovation. Through the involvement of a local software verification and validation company and through industrial case studies, this project will also improve the software verification and validation capabilities of local industry, allow them to save software development costs, and improve the quality of the software produced.Read moreRead less
Practical Tools and Techniques for the Testing of Concurrent Software Components. This project will develop tools and techniques for the practical, systematic testing of concurrent software components. Testing is a major means for ensuring that software performs as expected, but testing concurrent software is poorly understood even though the majority of complex, computer-based systems are concurrent in nature. The complexities arising from the non-deterministic nature of such software means tha ....Practical Tools and Techniques for the Testing of Concurrent Software Components. This project will develop tools and techniques for the practical, systematic testing of concurrent software components. Testing is a major means for ensuring that software performs as expected, but testing concurrent software is poorly understood even though the majority of complex, computer-based systems are concurrent in nature. The complexities arising from the non-deterministic nature of such software means that testing tools and techniques used for simpler, sequential software are inadequate. The outcomes of this project will consist of practical techniques for the effective testing of concurrent software components in general and tools for the testing of Java components in particular.Read moreRead less
Effective software process improvement in a large-scale defence contracting environment. Most organisations struggle to consistently develop high-quality software on schedule and within budget. Continuing changes in technologies and customer expectations complicate this challenge. Software process improvement frameworks aim to guide organisations towards best practice. This project will assess practical experience with individual software process improvement frameworks in a large-scale defence c ....Effective software process improvement in a large-scale defence contracting environment. Most organisations struggle to consistently develop high-quality software on schedule and within budget. Continuing changes in technologies and customer expectations complicate this challenge. Software process improvement frameworks aim to guide organisations towards best practice. This project will assess practical experience with individual software process improvement frameworks in a large-scale defence contracting environment, with the goal of developing an effective strategy for integrating them. The outcomes will include documented experience with specific process improvement frameworks and a strategy for an overall framework that combines them.Read moreRead less
Formalizing Software Design Pattern Concepts and Pattern Specifications using Metamodeling. Software design is currently an ad-hoc process that relies too heavily on each designer's personal experience. Software design patterns capture design know-how and make it reusable by identifying the problem and context in which a family of solutions can be applied. This project will use a formal metamodeling approach to define the concepts underlying software design patterns and hence will create precise ....Formalizing Software Design Pattern Concepts and Pattern Specifications using Metamodeling. Software design is currently an ad-hoc process that relies too heavily on each designer's personal experience. Software design patterns capture design know-how and make it reusable by identifying the problem and context in which a family of solutions can be applied. This project will use a formal metamodeling approach to define the concepts underlying software design patterns and hence will create precise and rigorous pattern specifications. Through this approach, we will incorporate patterns into the Unified Modeling Language (UML), the dominant object-oriented modeling language. Our pattern specifications will assist UML tool developers integrate software design patterns into their tools.Read moreRead less