Post-Quantum Functional Encryption : Principles, Protocols and Practice. Modern cryptography has the power to revolutionise virtually every aspect of our online lives. Large-scale secure data sharing could become a breeze, with tools such as functional encryption (FE) to give us fine control over access rights by means of expressive languages, and there will be no more juggling of crypto keys. Finally, the known foundations of FE will crumble when even small-sized quantum computers become realit ....Post-Quantum Functional Encryption : Principles, Protocols and Practice. Modern cryptography has the power to revolutionise virtually every aspect of our online lives. Large-scale secure data sharing could become a breeze, with tools such as functional encryption (FE) to give us fine control over access rights by means of expressive languages, and there will be no more juggling of crypto keys. Finally, the known foundations of FE will crumble when even small-sized quantum computers become reality, perhaps next decade. This project aims to recreate and expand the power of FE from post-quantum (PQ) mathematical principles, immune to quantum attacks, building on recent discoveries of limited forms of PQ-FE from rock-solid crypto principles. It begs exploring, for the truly spectacular outcomes likely to ensue.Read moreRead less
Special Research Initiatives - Grant ID: SR0354476
Funder
Australian Research Council
Funding Amount
$20,000.00
Summary
Intelligent Applications Through The Semantic Web. The primary aim of the proposed bid is to build a network of Australian researchers and their international peers for condresearch into the fundamental as well as applied aspects of the Semantic Web. By incorporating meaning of web-content in a form that can be accessed and processed by intelligent software agents, the Semantic Web will allow computers and humans to work in cooperation. This research will address the needs of both the Australian ....Intelligent Applications Through The Semantic Web. The primary aim of the proposed bid is to build a network of Australian researchers and their international peers for condresearch into the fundamental as well as applied aspects of the Semantic Web. By incorporating meaning of web-content in a form that can be accessed and processed by intelligent software agents, the Semantic Web will allow computers and humans to work in cooperation. This research will address the needs of both the Australian government and industry that provide and make smart use of information available on the Web. It will ensure Australian preparedness for the next-generation web technology.Read moreRead less
Novel audio watermarking techniques for tracing multimedia piracy. This project aims to develop inaudible, high-capacity audio watermarking techniques to trace the illegal copying and distribution of multimedia data containing a sound component, such as audios and sound videos. With the rapid growth of communication networks and the use of advanced multimedia technology, digital multimedia data can be easily copied, manipulated and distributed. This has led to strong demand for new techniques to ....Novel audio watermarking techniques for tracing multimedia piracy. This project aims to develop inaudible, high-capacity audio watermarking techniques to trace the illegal copying and distribution of multimedia data containing a sound component, such as audios and sound videos. With the rapid growth of communication networks and the use of advanced multimedia technology, digital multimedia data can be easily copied, manipulated and distributed. This has led to strong demand for new techniques to prevent illegal use of copyrighted data. The project is expected to advance the theory of audio watermarking and enhance Australia's international competitiveness in this field.
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A provable privacy-preserving data sharing system for the cloud environment. This project aims to develop an innovative data sharing system, with a mathematically provable privacy guarantee, in a cloud environment. This will be adopted by Australian Education Management Group’s (AEMG) cloud campus to exchange data in a restricted privacy manner between partner institutions. It will be commercialised as a middleware that can be plugged into existing cloud environments to maintain required privacy ....A provable privacy-preserving data sharing system for the cloud environment. This project aims to develop an innovative data sharing system, with a mathematically provable privacy guarantee, in a cloud environment. This will be adopted by Australian Education Management Group’s (AEMG) cloud campus to exchange data in a restricted privacy manner between partner institutions. It will be commercialised as a middleware that can be plugged into existing cloud environments to maintain required privacy even when the cloud crosses various jurisdictions with different privacy policies. The outcomes will benefit educational organisations, and lay the foundations for data sharing in other communities such as the government, banks, and other industries in Australia.Read moreRead less
Enhancing information credibility using mathematical prediction. The aim of this project is to develop theory, techniques, mathematical tools and practical algorithms for rumor detection and forecast in social media to enhance credibility of news, especially in time-sensitive situations and trending events. This project will significantly advance human knowledge of rumor formation, detection, and forecast, which will enable timely and efficient counter attacks. The outcomes from this project wil ....Enhancing information credibility using mathematical prediction. The aim of this project is to develop theory, techniques, mathematical tools and practical algorithms for rumor detection and forecast in social media to enhance credibility of news, especially in time-sensitive situations and trending events. This project will significantly advance human knowledge of rumor formation, detection, and forecast, which will enable timely and efficient counter attacks. The outcomes from this project will offer a reliable information environment for our society.Read moreRead less
View-based processing of pattern matching queries in large graphs. Graph data exist ubiquitously in modern information systems. Graph pattern matching (GPM) finds parts of the data graph that match a given pattern. It has applications in many areas including knowledge discovery, public health, and crime detection. This project will develop novel techniques for the efficient processing of GPM queries in large graphs.