Discovery Early Career Researcher Award - Grant ID: DE230100116
Funder
Australian Research Council
Funding Amount
$419,218.00
Summary
Vulnerability Defence: From Interpretable to Trustworthy Threat Assessment. This project aims to design a novel vulnerability defence framework to automatically identify, prioritise and interpret vulnerabilities and their attack vectors from the Internet of Things (IoT). Currently, most Australian organisations can be targeted by complex cyberattacks, stealing sensitive information leading to financial loss and reputation threats. This project expects to generate new knowledge in IoT vulnerabili ....Vulnerability Defence: From Interpretable to Trustworthy Threat Assessment. This project aims to design a novel vulnerability defence framework to automatically identify, prioritise and interpret vulnerabilities and their attack vectors from the Internet of Things (IoT). Currently, most Australian organisations can be targeted by complex cyberattacks, stealing sensitive information leading to financial loss and reputation threats. This project expects to generate new knowledge in IoT vulnerability assessment using economic risk estimation and cognitive vulnerability identification methods. Expected outcomes include trusted IoT vulnerability assessment methods and vulnerability testbed. Significant benefits are expected to protect IoT networks in all defence, industry and government sectors.Read moreRead less
High Quality-of-Experience Real-time Video for Smart Online Shopping. This project aims to develop high quality-of-experience real-time video systems for smart shopping applications by devising new deep-neural-network-enhanced video delivery schemes. It will generate new knowledge of combined AI and network solutions to achieve high-quality and low-latency real-time video delivery, addressing unsatisfactory user experience intrinsically caused by network delay and bandwidth. Fundamental principl ....High Quality-of-Experience Real-time Video for Smart Online Shopping. This project aims to develop high quality-of-experience real-time video systems for smart shopping applications by devising new deep-neural-network-enhanced video delivery schemes. It will generate new knowledge of combined AI and network solutions to achieve high-quality and low-latency real-time video delivery, addressing unsatisfactory user experience intrinsically caused by network delay and bandwidth. Fundamental principles and an all-in-one platform will be developed to address research problems and the industrial partner’s practical problems. It will significantly benefit all shopping businesses and their customers in Australia, as well as all other video-related services (e.g., online education, video conferencing, etc.).Read moreRead less