Learning the Focus of Attention to Detect Distributed Coordinated Attacks. Cyber security analysts need to detect and respond to attacks as soon as possible, to minimise the damage attackers can inflict. However, the growth in highly distributed attacks that span multiple networks has meant that massive volumes of data need to be analysed. While machine learning techniques can help filter the data, we need techniques that can automatically provide a focus of attention for analysts on the most re ....Learning the Focus of Attention to Detect Distributed Coordinated Attacks. Cyber security analysts need to detect and respond to attacks as soon as possible, to minimise the damage attackers can inflict. However, the growth in highly distributed attacks that span multiple networks has meant that massive volumes of data need to be analysed. While machine learning techniques can help filter the data, we need techniques that can automatically provide a focus of attention for analysts on the most relevant observations. Our aim is to devise a novel suite of attention mechanisms that can focus the search of machine learning techniques for cyber security. The results of this project will improve the accuracy and efficiency of detecting distributed attacks across multiple networks.Read moreRead less
New modulation techniques for future high-mobility wireless communications. Future wireless networks will support huge amounts of mobile data traffic and numbers of terminals. To provide satisfactory service to emerging mass transportation systems such as self-driving cars, high-speed trains, and drones, it will be critical to incorporate the ability for wireless networks to function in high-mobility environments. The project aims to devise novel modulation techniques to support high-mobility co ....New modulation techniques for future high-mobility wireless communications. Future wireless networks will support huge amounts of mobile data traffic and numbers of terminals. To provide satisfactory service to emerging mass transportation systems such as self-driving cars, high-speed trains, and drones, it will be critical to incorporate the ability for wireless networks to function in high-mobility environments. The project aims to devise novel modulation techniques to support high-mobility communications with superior performance. The theoretical advances will be demonstrated using software-defined radios. These outcomes will provide fundamental scientific basis for deployment of future air interfaces. The project will benefit Australia in gaining a leading position in global telecommunications development.Read moreRead less
Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predi ....Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.Read moreRead less
Blind separation of mutually correlated sources. This project is aimed at developing novel techniques for blind separation of mutually correlated sources. The expected outcomes will significantly advance the theory of blind source separation and improve the performance of important practical systems, such as densely deployed sensor networks and wireless video surveillance systems.
Network coding over finite rings. Wireless networks are increasing exponentially throughout the world, but are still plagued by delay, jitter, and interference. Advanced algebraic tools are the key to designing novel network coding and relaying schemes, which will overcome these issues and increase the network capacity in terms of sustainable data rates.
Taming uncertainty: a stochastic-geometric foundation for complex wireless networks. This project will improve our understanding of complex networks such as the internet, wireless communication networks and social networks. We will do this by properly studying the impact of the network geometry. The outcomes will be new approaches to managing complex networks to improve both efficiency and performance.
RAINBOW - RAdIo Networks Based On machine learning for situation aWareness. This project aims to develop software-defined and cognitive radio networks (SDR) to detect adversarial communications and achieve situation awareness on radio frequency (RF) spectrum. The project will generate novel SDR architectures and new attack-resistant detection algorithms through innovative approaches combining machine learning and game theory. Expected outcomes include a strategic alliance between the University ....RAINBOW - RAdIo Networks Based On machine learning for situation aWareness. This project aims to develop software-defined and cognitive radio networks (SDR) to detect adversarial communications and achieve situation awareness on radio frequency (RF) spectrum. The project will generate novel SDR architectures and new attack-resistant detection algorithms through innovative approaches combining machine learning and game theory. Expected outcomes include a strategic alliance between the University of Melbourne and the Northrop Grumman Corporation. Among significant benefits, the project will improve cybersecurity of RF spectrum as a national asset, help protect critical infrastructure relying on wireless networks such as telecommunications and defence, and build skills in cybersecurity and Artificial Intelligence.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101497
Funder
Australian Research Council
Funding Amount
$427,455.00
Summary
Structured Codes: Harnessing Interference to Improve Communication Networks. Interference occurs when a device involuntarily receives signals from unintended transmitters. Interference is the biggest challenge in modern large-scale communication networks. In contrast to conventional wisdom that avoids interference, this project aims to harness interference for its advantage. It will view interference as a form of computation that can be exploited advantageously using structured codes. Developing ....Structured Codes: Harnessing Interference to Improve Communication Networks. Interference occurs when a device involuntarily receives signals from unintended transmitters. Interference is the biggest challenge in modern large-scale communication networks. In contrast to conventional wisdom that avoids interference, this project aims to harness interference for its advantage. It will view interference as a form of computation that can be exploited advantageously using structured codes. Developing theory and novel coding techniques, this project expects to deepen our understanding of interference, and significantly increase the network bandwidth efficiency. Expected outcomes will benefit a wide range of applications such as next-generation mobile systems, sensor networks, and cyber-physical systems.Read moreRead less
A new spectrum access technology for future wireless terminals. This project will develop a new frequency flexible wireless transceiver structure for the next generation of smartphones and wireless devices. The project will improve the roaming experience of travellers and reduce the cost of wireless connectivity, enabling new applications such as machine-to-machine communications and the internet-of-things.
Multiple-input, multiple-output short range optical communications: a broadband solution with virtually unlimited bandwidth. This project will develop new short range communications systems with virtually unlimited bandwidth and combine the speed of optical communications with the convenience of wireless. Applications range from rapid data download to portable devices such as smart phones, to communications within very high speed computers.