Information-theoretic secure communications via caching. This project aims to address the cybersecurity problem of securing telecommunication networks to prevent data leakage. Current widely-adopted data-encryption approaches to secure communications will be broken with large-scale quantum computers, and existing information-theoretic approaches rely on the channel quality of the network. To circumvent these risks, this project proposes a new information security approach using information cache ....Information-theoretic secure communications via caching. This project aims to address the cybersecurity problem of securing telecommunication networks to prevent data leakage. Current widely-adopted data-encryption approaches to secure communications will be broken with large-scale quantum computers, and existing information-theoretic approaches rely on the channel quality of the network. To circumvent these risks, this project proposes a new information security approach using information cached at devices to camouflage data. The project will future-proof secure communication systems against large-scale quantum computers, which threaten current encryption approaches. This should ensure that data transmitted over communication networks can never be revealed to interceptors or hackers, even in public WiFi.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101418
Funder
Australian Research Council
Funding Amount
$398,000.00
Summary
Extremely-high-speed and reliable coding for next generation communications. This project aims to develop fundamental coding theories and innovative coded-modulation techniques for the next generation backbone communication systems. The development of these techniques is expected to lead to dramatic increases of spectrum efficiency, data rate and reliability of communication systems. The techniques will enable extremely high speed and extremely reliable front-haul/back-haul communications, which ....Extremely-high-speed and reliable coding for next generation communications. This project aims to develop fundamental coding theories and innovative coded-modulation techniques for the next generation backbone communication systems. The development of these techniques is expected to lead to dramatic increases of spectrum efficiency, data rate and reliability of communication systems. The techniques will enable extremely high speed and extremely reliable front-haul/back-haul communications, which constitute the major building blocks of critical information and communications technology infrastructures for future digital society. This project is expected to support the sustainable development of the emerging digital society and new data-intensive applications, which are crucial for the long term economic growth for the Australian community.Read moreRead less
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
Readying Wireless Networks for Future Communications Systems: From Ubiquitous Computing to the Internet of Things. This project aims to prepare wireless networks for future communications systems, by improving the data transmission rates of wireless networks, through developing new coding schemes based on the synergy of noisy-channel coding and index coding. This will allow wireless networks, used in conjunction with the fibre-optic National Broadband Network, to support future high-data-rate an ....Readying Wireless Networks for Future Communications Systems: From Ubiquitous Computing to the Internet of Things. This project aims to prepare wireless networks for future communications systems, by improving the data transmission rates of wireless networks, through developing new coding schemes based on the synergy of noisy-channel coding and index coding. This will allow wireless networks, used in conjunction with the fibre-optic National Broadband Network, to support future high-data-rate and ubiquitous communication services. This project aims to produce new theoretical results in the field of communication theory, and efficient practical coding schemes for wireless communications.Read moreRead less
Robust Federated Learning for Imperfect Decentralised Data. This project aims to develop a next-generation robust federated learning framework to tackle the challenging scenarios of imperfect decentralised data in real applications, e.g. mobile phones and the Internet of Things (IoT) devices. The outcomes will bring great benefits to a broad range of industry sectors by providing novel large-scale intelligent applications with privacy preservation. The proposed method will advance the developmen ....Robust Federated Learning for Imperfect Decentralised Data. This project aims to develop a next-generation robust federated learning framework to tackle the challenging scenarios of imperfect decentralised data in real applications, e.g. mobile phones and the Internet of Things (IoT) devices. The outcomes will bring great benefits to a broad range of industry sectors by providing novel large-scale intelligent applications with privacy preservation. The proposed method will advance the development of a cutting-edge technique to develop new intelligent applications in a decentralised and privacy-sensitive scenario. This game-changing research will advance current data mining and artificial intelligence research from centralised intelligence to decentralised intelligence with a collaboration network.Read moreRead less
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
Airborne Base Station Communication Systems: Capacity and Optimization. This project will fundamentally characterise and optimize information gathering, dissemination, and communication capacities of airborne base stations to enable low latency communications in rural and remote areas. New technologies such as precision farming, safe remote equipment operation in mining, and wide area surveillance and security, require low latency communications that are an order of magnitude beyond what is curr ....Airborne Base Station Communication Systems: Capacity and Optimization. This project will fundamentally characterise and optimize information gathering, dissemination, and communication capacities of airborne base stations to enable low latency communications in rural and remote areas. New technologies such as precision farming, safe remote equipment operation in mining, and wide area surveillance and security, require low latency communications that are an order of magnitude beyond what is currently available from satellite links. The expected outcome will be radically new base station deployment and flight path planning, and data transmission technologies. These will unlock new application technologies by enabling secure wide-spread communications coverage, delivering economic benefits to remote Australia.Read moreRead less