DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting th ....DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting the attractiveness and evolving the system. The project expects to advance deep learning and yield novel DeepHoney technologies with associated publications and open-source software. This should benefit science, society, and the economy by building the next generation of active cyber defence systems. Read moreRead less
Making human place knowledge digestible by computers. This project aims to develop the tools that will enable people to interact intuitively with computers about places and the relations between places. People understand their environment in a different way to computers; they think of places and their relations, while computers use coordinates and maps. People’s interaction with maps is cognitively costly and error-prone, which is becoming untenable in situations needing time-critical decision m ....Making human place knowledge digestible by computers. This project aims to develop the tools that will enable people to interact intuitively with computers about places and the relations between places. People understand their environment in a different way to computers; they think of places and their relations, while computers use coordinates and maps. People’s interaction with maps is cognitively costly and error-prone, which is becoming untenable in situations needing time-critical decision making. The project will revolutionise the design of information services where computers deal with humans and location in time-critical or stressful situations, including emergency calls, disaster response and local search queries. The uptake of this design by industry will lead to economic benefits as well as a safer society living in a smarter environment.Read moreRead less
Smart Information Processing for Roadside Fire Risk Assessment Using Computational Intelligence and Pattern Recognition. This project proposes a novel approach for identifying roadside fire risks using pattern recognition and computational intelligence techniques. The video data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project aims to develop new techniques for identification of roadside obje ....Smart Information Processing for Roadside Fire Risk Assessment Using Computational Intelligence and Pattern Recognition. This project proposes a novel approach for identifying roadside fire risks using pattern recognition and computational intelligence techniques. The video data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project aims to develop new techniques for identification of roadside objects so that the data can be automatically analysed allowing the estimation of fire risk factors. The final outcome intends to be techniques for segmentation and classification of roadside objects and estimation of fire risk factors.Read moreRead less
Developing Adversary-Aware Classifiers for Android Malware Detection. Smartphones have become increasingly ubiquitous in people’s everyday life. However, it was reported that one in every five Android applications were actually malware, considering that Android has taken 88% market share of mobile phones. As an effective technique, machine learning has been widely adopted to detect Android malware. However, recent work suggests that deliberately-crafted malware makes machine learning ineffective ....Developing Adversary-Aware Classifiers for Android Malware Detection. Smartphones have become increasingly ubiquitous in people’s everyday life. However, it was reported that one in every five Android applications were actually malware, considering that Android has taken 88% market share of mobile phones. As an effective technique, machine learning has been widely adopted to detect Android malware. However, recent work suggests that deliberately-crafted malware makes machine learning ineffective. In this project, we propose to develop a series of new techniques, such as 1) Android contextual analysis, 2) wrapper-based hill climbing algorithm, and 3) ensemble learning, to solve this problem. The outcomes will help Australia gain cutting edge technologies in adversarial machine learning and mobile security.Read moreRead less
Quantification of whole brain structural connectivity and fibre densities. The project is intended to develop and improve accuracy in tools used to measure brain connections. Its overall aim is to produce definitive evidence of the biological accuracy of quantitative measures of brain structural connectivity as derived from diffusion magnetic resonance imaging (MRI). Discovery in the quantitative field of MRI research is important to worldwide efforts to identify the human ‘connectome’. The proj ....Quantification of whole brain structural connectivity and fibre densities. The project is intended to develop and improve accuracy in tools used to measure brain connections. Its overall aim is to produce definitive evidence of the biological accuracy of quantitative measures of brain structural connectivity as derived from diffusion magnetic resonance imaging (MRI). Discovery in the quantitative field of MRI research is important to worldwide efforts to identify the human ‘connectome’. The project plans to bring together novel diffusion MRI post-processing methods and state-of-the-art 3-D glass-brain histology techniques using mice. Investment in MRI research that specifically addresses methods to accurately measure structural brain connectivity may ultimately contribute to improving non-invasive imaging methods.Read moreRead less
In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases ....In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases in satellite and diagnostic imaging, respectively, among other applications. For the first time, the combination of how a computer analyses an image and how an expert interprets it will be used as a common language to enable machines to process visual information in a manner that mimics the way human brains do.Read moreRead less
Control and communications for high value distributed electrical storage. The project aims to develop a new framework to support the successful deployment of resilient ‘prosumer-based’ energy systems. The increasing deployment of new energy technologies, such as solar photovoltaics, wind turbines, and battery and other energy storages, challenges the current operating regimes of energy systems. The successful and active participation of prosumers, who are both producers and consumers of energy, ....Control and communications for high value distributed electrical storage. The project aims to develop a new framework to support the successful deployment of resilient ‘prosumer-based’ energy systems. The increasing deployment of new energy technologies, such as solar photovoltaics, wind turbines, and battery and other energy storages, challenges the current operating regimes of energy systems. The successful and active participation of prosumers, who are both producers and consumers of energy, becomes a critical issue in the operation and management of such systems. The proposed framework explores ways to integrate new technology into existing systems, focusing on new methods of energy management with interactions with millions of devices and storage units, and real-time communications to devices.Read moreRead less
Detecting Supervisory Control and Data Access (SCADA) malicious programs to protect Australian critical infrastructure. The security of SCADA systems has enormous impact to our national security and economy because they control and monitor critical infrastructure, like power, gas and water facilities and nuclear power plants, etc. This project aims to investigate the security issues and provide innovative technological solutions to detect and prevent such problems.
Cloud scheduling and management of energy systems with real-time support. This project aims to research cloud scheduling and management of modern energy systems with real-time communication support. The approach consists of optimisation with balanced benefits for customers, aggregators and network service providers for modern energy systems; real-time communication support for unified energy scheduling and management over many microgrids; and cloud energy scheduling and management with deadline ....Cloud scheduling and management of energy systems with real-time support. This project aims to research cloud scheduling and management of modern energy systems with real-time communication support. The approach consists of optimisation with balanced benefits for customers, aggregators and network service providers for modern energy systems; real-time communication support for unified energy scheduling and management over many microgrids; and cloud energy scheduling and management with deadline guarantee. This project is expected to facilitate increasing deployment of disruptive energy technologies on a massive scale, create opportunities for energy industries, and maintain Australia’s leading position in renewable energy.Read moreRead less
A Theory of Innovation Systems. The goal of the project is to develop and validate a new theory for how information systems can be designed to assist organisations in becoming innovative. Technological innovation is designed to increase productivity and economic growth, but knowledge is lacking about how information systems can meaningfully support organisations in becoming innovative. The goal of this project is to develop and test a theory of ‘innovation systems’ that would describe design pri ....A Theory of Innovation Systems. The goal of the project is to develop and validate a new theory for how information systems can be designed to assist organisations in becoming innovative. Technological innovation is designed to increase productivity and economic growth, but knowledge is lacking about how information systems can meaningfully support organisations in becoming innovative. The goal of this project is to develop and test a theory of ‘innovation systems’ that would describe design principles for information systems that provide effective and efficient support to organisational innovation processes. The expected project outcomes would assist the development of new systems to support organisational innovations, the management of innovation initiatives to increase productivity and growth, and the effective assessment of technologies to support innovation.Read moreRead less