Lightweight security framework for Low-Power Wide-Area Network (LPWAN). This project aims to design and implement a lightweight security framework for Low Power Wide Area Networks (LPWAN). Smart cities are estimated to have a worldwide market value of US$1.5 trillion by 2020, and LPWAN will provide connectivity to 90% of low bandwidth, smart city applications such as smart metres and smart buildings. Many of these applications are deployed in mission-critical infrastructure such as airport, trai ....Lightweight security framework for Low-Power Wide-Area Network (LPWAN). This project aims to design and implement a lightweight security framework for Low Power Wide Area Networks (LPWAN). Smart cities are estimated to have a worldwide market value of US$1.5 trillion by 2020, and LPWAN will provide connectivity to 90% of low bandwidth, smart city applications such as smart metres and smart buildings. Many of these applications are deployed in mission-critical infrastructure such as airport, train station, hospital and government campuses, which have strong security requirements. Before the ubiquitous deployment of such new technology, a strong security framework needs to be developed and implemented to minimise enormous economic and social consequences of future malicious attacks to LPWAN.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100863
Funder
Australian Research Council
Funding Amount
$405,398.00
Summary
Privacy Coupling: When Your Personal Devices Betray You. This project aims to propose novel privacy preserving schemes that can protect the privacy of individuals in the era of Internet of things and machine learning. In the recent years, most Australian organizations have been a target of privacy and cybersecurity attacks, affecting their data and network systems. The expected outcomes of this project are privacy preserving schemes that can prevent attackers from compromising the private inform ....Privacy Coupling: When Your Personal Devices Betray You. This project aims to propose novel privacy preserving schemes that can protect the privacy of individuals in the era of Internet of things and machine learning. In the recent years, most Australian organizations have been a target of privacy and cybersecurity attacks, affecting their data and network systems. The expected outcomes of this project are privacy preserving schemes that can prevent attackers from compromising the private information of individuals in IoT and machine learning services, and thus significantly improve the protection against cybersecurity attacks. Significant benefits in social wellbeing and security are expected for all industry, government, and service sectors that collect data about people.Read moreRead less