Foundations for Physically Unclonable nano-Security on Silicon. This project aims to develop an on-chip physical unclonable function (PUF) based on recent progress in nanotechnology to generate unprecedented number of unique signatures. This is significant because these signatures can be used for preventing fraud and counterfeiting, protecting sensitive data and securing communications. PUFs will play an extremely vital role in future security systems. The PUF in the proposed project will be sim ....Foundations for Physically Unclonable nano-Security on Silicon. This project aims to develop an on-chip physical unclonable function (PUF) based on recent progress in nanotechnology to generate unprecedented number of unique signatures. This is significant because these signatures can be used for preventing fraud and counterfeiting, protecting sensitive data and securing communications. PUFs will play an extremely vital role in future security systems. The PUF in the proposed project will be simple, fast, tiny, energy efficient and highly secure as a result of the abundant nano-fabrication variations. The outcome of this project will be a prototype of a super high secure nanoelectronic-based PUF that will be tested to evaluate the technology and its security against malicious attacks.Read moreRead less
Towards New Functionality in Dairy Ingredients. The Australian dairy industry plays a significant part in the nation’s economy, with almost $3 billion in export revenue in 2016-2017. Powdered dairy products extend shelf life and ease of transport, with >20% annual growth in premium products, such as milk protein concentrates and infant formula powders. This project aims to support the development of value-added dairy powders by investigating the impact of a novel high pressure processing technol ....Towards New Functionality in Dairy Ingredients. The Australian dairy industry plays a significant part in the nation’s economy, with almost $3 billion in export revenue in 2016-2017. Powdered dairy products extend shelf life and ease of transport, with >20% annual growth in premium products, such as milk protein concentrates and infant formula powders. This project aims to support the development of value-added dairy powders by investigating the impact of a novel high pressure processing technology in enhancing the properties of dairy powders and/or introducing new functionality. Successful outcomes will help expand the offering of high value dairy ingredients and thus increase the global competitiveness of Australian dairy manufacturing.Read moreRead less
Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while pres ....Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while preserving the data privacy. These tools should provide significant benefits to the privacy of cloud users, as well as financial and reputation benefits to the IT industry, by significantly reducing the likelihood of massive user data privacy breaches in the event of a cyber-hacking attack on the cloud server.Read moreRead less
Enhancing privacy preserving in dynamic cyberspace. This project aims to develop a novel infrastructure operational monitoring and management strategy to reduce the redundant maintenance actions and achieve a cost-effective approach for civil infrastructure asset management. The project will use multiple social networks as a platform for the project, with the potential for the results to be extended to any dynamic cyberspace. Project outcomes will include a set of new analysis theories and tools ....Enhancing privacy preserving in dynamic cyberspace. This project aims to develop a novel infrastructure operational monitoring and management strategy to reduce the redundant maintenance actions and achieve a cost-effective approach for civil infrastructure asset management. The project will use multiple social networks as a platform for the project, with the potential for the results to be extended to any dynamic cyberspace. Project outcomes will include a set of new analysis theories and tools to facilitate government, companies, individuals, and organisations to enhance their information gathering and privacy-preserving capabilities. This is expected to enhance the credibility of the government and organisations and save the possible financial loss of companies and individuals.Read moreRead less
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
Methodologies for face recognition under varying imaging conditions. Face recognition systems are heavily dependent on the nature of the input to the system. Variability in appearance due to changes in illumination, expression, pose, etc. can reduce the recognition results of the existing systems. The aim of this project is to develop new techniques to improve the recognition accuracy in natural environment where unwanted image variations exist. The development of such techniques will be of grea ....Methodologies for face recognition under varying imaging conditions. Face recognition systems are heavily dependent on the nature of the input to the system. Variability in appearance due to changes in illumination, expression, pose, etc. can reduce the recognition results of the existing systems. The aim of this project is to develop new techniques to improve the recognition accuracy in natural environment where unwanted image variations exist. The development of such techniques will be of great importance to Australia's security and safety. The outcome of this research will provide the first steps towards formulating the next generation recognition systems that will improve the suitability of the face recognition for use in security, surveillance, intelligent robotics, banking, and smart environments.Read moreRead less
Ethnic discrimination in the private rental housing market. Paired testing protocols, as used in North American and Europe, will be used for the first time in Australia to test for ethnic discrimination in the allocation of private rental housing. This will fill a significant gap in current knowledge, and provide an evidence for policy action and remedies.
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
Enhancing information credibility using mathematical prediction. The aim of this project is to develop theory, techniques, mathematical tools and practical algorithms for rumor detection and forecast in social media to enhance credibility of news, especially in time-sensitive situations and trending events. This project will significantly advance human knowledge of rumor formation, detection, and forecast, which will enable timely and efficient counter attacks. The outcomes from this project wil ....Enhancing information credibility using mathematical prediction. The aim of this project is to develop theory, techniques, mathematical tools and practical algorithms for rumor detection and forecast in social media to enhance credibility of news, especially in time-sensitive situations and trending events. This project will significantly advance human knowledge of rumor formation, detection, and forecast, which will enable timely and efficient counter attacks. The outcomes from this project will offer a reliable information environment for our society.Read moreRead less
Knowledge Graph-driven Software Vulnerability Risk Discovery and Assessment. This project aims to alleviate cyberattacks which are increasingly being crafted to attack software vulnerabilities and weaknesses by utilising advanced knowledge graphs and deep learning techniques. This project expects to construct an innovative software vulnerability knowledge graph and develop advanced graph-based algorithms and models. Expected outcomes of this project include the enhanced capacity to defend agains ....Knowledge Graph-driven Software Vulnerability Risk Discovery and Assessment. This project aims to alleviate cyberattacks which are increasingly being crafted to attack software vulnerabilities and weaknesses by utilising advanced knowledge graphs and deep learning techniques. This project expects to construct an innovative software vulnerability knowledge graph and develop advanced graph-based algorithms and models. Expected outcomes of this project include the enhanced capacity to defend against cyberattacks for both organisations and individuals in Australia and beyond, theory development in graph theory, refined graph neural network models and improved graph transfer learning algorithms.Read moreRead less