Improved security and privacy for online platforms. Online platforms provide goods and services to people all over the world in a flexible way. Due to COVID-19, the number of online platforms increased significantly. As more and more business activities are conducted in a virtual environment, there is a corresponding increase in major privacy and security challenges. This project aims to work in the online education industry to provide a revolutionary secure environment for both business owners ....Improved security and privacy for online platforms. Online platforms provide goods and services to people all over the world in a flexible way. Due to COVID-19, the number of online platforms increased significantly. As more and more business activities are conducted in a virtual environment, there is a corresponding increase in major privacy and security challenges. This project aims to work in the online education industry to provide a revolutionary secure environment for both business owners and users. This secure online environment will enable privacy and security guarantees that will be first implemented on our Partner Organisation’s education platform. The developed technologies can be easily adapted to most online-service industries and can be commercialised immediately.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100282
Funder
Australian Research Council
Funding Amount
$432,000.00
Summary
New Frontiers for Anonymous Authentication. The project aims to investigate the new concepts and constructions of anonymous authentication protocols, which can both fill existing research gap and address new challenges raised by new computing technologies. The expected outcomes are novel concepts and methods in constructing anonymous authentication protocols with enhanced functionalities and better efficiency. The project will contribute to safeguard cybersecurity for all Australians and provide ....New Frontiers for Anonymous Authentication. The project aims to investigate the new concepts and constructions of anonymous authentication protocols, which can both fill existing research gap and address new challenges raised by new computing technologies. The expected outcomes are novel concepts and methods in constructing anonymous authentication protocols with enhanced functionalities and better efficiency. The project will contribute to safeguard cybersecurity for all Australians and provide significant benefits, such as advancing theoretical knowledge in the research field and enhancing privacy and security of all Australian online services.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100001
Funder
Australian Research Council
Funding Amount
$424,064.00
Summary
Regulations in Privacy-Preserving Blockchain Systems. This project aims to develop an integrated regulatory paradigm for privacy-preserving blockchain. This project expects to reduce cybercrimes and illegal transactions in blockchain and provide solutions for the regulation concerns raised in the national blockchain roadmap, using interdisciplinary approaches and new primitives. Expected outcomes of this project include providing versatile regulation services covering the whole lifetime of trans ....Regulations in Privacy-Preserving Blockchain Systems. This project aims to develop an integrated regulatory paradigm for privacy-preserving blockchain. This project expects to reduce cybercrimes and illegal transactions in blockchain and provide solutions for the regulation concerns raised in the national blockchain roadmap, using interdisciplinary approaches and new primitives. Expected outcomes of this project include providing versatile regulation services covering the whole lifetime of transactions while maintaining transaction privacy and user anonymity. This should provide significant benefits to the economy by reducing the financial loss caused by blockchain abuse worldwide ($76 billion per year) and promoting Australia’s blockchain ecosystem (grow to AU$68.4 billion by 2030). Read moreRead less
Data Privacy Protection in Wireless Sensor Networks. This project aims to explore a comprehensive solution for the protection of privacy-sensitive data in wireless sensor networks (WSNs) that are vulnerable to hacking. The project expects to use an innovative approach involving multiple data servers to protect sensor data privacy from data collection to data access and analysis. Expected outcomes of this project include new security and privacy models for WSNs in the setting of multiple servers, ....Data Privacy Protection in Wireless Sensor Networks. This project aims to explore a comprehensive solution for the protection of privacy-sensitive data in wireless sensor networks (WSNs) that are vulnerable to hacking. The project expects to use an innovative approach involving multiple data servers to protect sensor data privacy from data collection to data access and analysis. Expected outcomes of this project include new security and privacy models for WSNs in the setting of multiple servers, new secure protocols, privacy-preserving access control and data analysis protocols, and a prototype of a privacy-preserving WSN system. This should provide significant benefits, such as improved security of sensitive data in the healthcare system, military, utilities and telecommunications.
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Privacy-Preserving Collaborative Analytics on Sensitive Data. This project aims to develop efficient solutions that allow multiple institutes to carry out collaborative analytics on aggregated data without revealing their sensitive data to each other. The project expects to remedy acute privacy concerns when institutes share sensitive data across boundaries for collective insights. The expected outcomes include a hybrid trust model with distributed trusts to provide malicious security guarantees ....Privacy-Preserving Collaborative Analytics on Sensitive Data. This project aims to develop efficient solutions that allow multiple institutes to carry out collaborative analytics on aggregated data without revealing their sensitive data to each other. The project expects to remedy acute privacy concerns when institutes share sensitive data across boundaries for collective insights. The expected outcomes include a hybrid trust model with distributed trusts to provide malicious security guarantees, lightweight privacy-enhancing techniques to express rich analytical functionalities, and a system platform for real-world applications. This should provide significant benefits such as facilitating industries to safeguard their customers' data and uplift their businesses in a secure and trustworthy fashion.Read moreRead less
Knowledge Graph-driven Software Vulnerability Risk Discovery and Assessment. This project aims to alleviate cyberattacks which are increasingly being crafted to attack software vulnerabilities and weaknesses by utilising advanced knowledge graphs and deep learning techniques. This project expects to construct an innovative software vulnerability knowledge graph and develop advanced graph-based algorithms and models. Expected outcomes of this project include the enhanced capacity to defend agains ....Knowledge Graph-driven Software Vulnerability Risk Discovery and Assessment. This project aims to alleviate cyberattacks which are increasingly being crafted to attack software vulnerabilities and weaknesses by utilising advanced knowledge graphs and deep learning techniques. This project expects to construct an innovative software vulnerability knowledge graph and develop advanced graph-based algorithms and models. Expected outcomes of this project include the enhanced capacity to defend against cyberattacks for both organisations and individuals in Australia and beyond, theory development in graph theory, refined graph neural network models and improved graph transfer learning algorithms.Read moreRead less
Rigorous Privacy Compliance in Modern Application Ecosystems. Modern network applications such as mobile applications and browser extensions have become the primary gateways for consumers to access the Internet in today’s digital landscape. This project aims to address privacy issues in these ecosystems by developing a new privacy-compliance assessment framework. The framework will evaluate the current privacy practices of application ecosystems, enabling users and developers in Australia and wo ....Rigorous Privacy Compliance in Modern Application Ecosystems. Modern network applications such as mobile applications and browser extensions have become the primary gateways for consumers to access the Internet in today’s digital landscape. This project aims to address privacy issues in these ecosystems by developing a new privacy-compliance assessment framework. The framework will evaluate the current privacy practices of application ecosystems, enabling users and developers in Australia and worldwide to reliably identify potential privacy risks and issues on their applications. The intended outcomes should endow data controllers with the capability of evidencing their compliance of data protection legislations such as Australia Privacy Act 1988 and EU General Data Protection Regulation (GDPR).Read moreRead less
Deep Learning Attacks and Active Defences: A Cybersecurity Perspective. The belief that deep learning technology is imperative for economic development, military control, and strategic competitiveness has accelerated its development across the globe. However, experience has revealed the disappointing fact that deep learning models are vulnerable to a range of security attacks. Hence, a series of methodologies and defence strategies will be devised that make deep learning systems robust to these ....Deep Learning Attacks and Active Defences: A Cybersecurity Perspective. The belief that deep learning technology is imperative for economic development, military control, and strategic competitiveness has accelerated its development across the globe. However, experience has revealed the disappointing fact that deep learning models are vulnerable to a range of security attacks. Hence, a series of methodologies and defence strategies will be devised that make deep learning systems robust to these attacks. The methodologies require analysing attack lifecycles to identify them in their early stages. With this knowledge, active defence methods and forensic strategies can be developed to ensure efficient defences and prevent further attacks. Moreover, the outputs will be generalisable to most deep learning services.Read moreRead less
Bridging the gap between Key-Evolving Signatures and Their Applications. This project aims to address the gap between cryptography primitives and their applications. Key-evolution signatures are effective in resolving secret key compromises. Theoretically, they can be adopted to secure Proof-of-Stake in blockchain against long-range attacks. Unfortunately, there are many remaining issues to address that make adoption insecure. This project is significant since it will enrich theoretical cryptogr ....Bridging the gap between Key-Evolving Signatures and Their Applications. This project aims to address the gap between cryptography primitives and their applications. Key-evolution signatures are effective in resolving secret key compromises. Theoretically, they can be adopted to secure Proof-of-Stake in blockchain against long-range attacks. Unfortunately, there are many remaining issues to address that make adoption insecure. This project is significant since it will enrich theoretical cryptography contributions and ensure their practical and secure applications. The expected outcomes are innovative technologies, guaranteeing security whilst solving real-life problems. The project will deliver significant and innovative technology for enabling effective and secure blockchain systems. Read moreRead less
Australian Laureate Fellowships - Grant ID: FL230100033
Funder
Australian Research Council
Funding Amount
$3,034,371.00
Summary
Secure Cloud Computing from Cryptography:The Rise of Pragmatic Cryptography. This Fellowship aims to deliver a new research principle by developing cryptography solutions, namely pragmatic cryptography, for cloud security. Cryptography is critical in protecting data and computing for confidentiality and integrity. Current cryptography solutions are advanced but idealised and incompatible with existing cloud applications. The expected outcomes include design principles of pragmatic cryptography a ....Secure Cloud Computing from Cryptography:The Rise of Pragmatic Cryptography. This Fellowship aims to deliver a new research principle by developing cryptography solutions, namely pragmatic cryptography, for cloud security. Cryptography is critical in protecting data and computing for confidentiality and integrity. Current cryptography solutions are advanced but idealised and incompatible with existing cloud applications. The expected outcomes include design principles of pragmatic cryptography and concrete cryptography constructions to achieve secure cloud computing solutions, narrowing the gap between theory and practice. Achieving these outcomes will revolutionise cloud technology and position Australia as a global leader in innovative technologies that provide user assurance and trust in cloud security.Read moreRead less