Safeguarding Future Wireless Communications with Physical Layer Security. Wireless communication is vulnerable to eavesdropping attacks since the transmitted signal enters an open wireless medium allowing anyone to overhear it. This project tackles the challenging problem of secure wireless transmissions through the advancement of a new security technology termed physical layer security. Theoretical frameworks are expected to be developed to understand how this new technology extracts the intri ....Safeguarding Future Wireless Communications with Physical Layer Security. Wireless communication is vulnerable to eavesdropping attacks since the transmitted signal enters an open wireless medium allowing anyone to overhear it. This project tackles the challenging problem of secure wireless transmissions through the advancement of a new security technology termed physical layer security. Theoretical frameworks are expected to be developed to understand how this new technology extracts the intrinsic security from the wireless medium to protect the confidentiality of information transmission. The research outcome is expected to provide for innovative solutions to safeguard Australia's future commercial, government and military wireless networks, and to give pivotal insights into the impact of this new technology on national security.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: DE120102012
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Estimation and control algorithms over wireless networks. The use of wireless technologies in areas such as mobile communications has provided great benefits to society. Investigating estimation and control algorithms that are reliable when operating over the wireless environment will enable new technologies such as better management of Australia's water resources, and more fuel-efficient transportation.