Privacy-Preserving Classification for Big-Data Driven Network Traffic. Protecting sensitive information in large network traffic flows while ensuring data usability for classification emerges as a critical problem of increasing significance. Existing techniques do not work on highly heterogeneous traffic from big-data applications for both privacy protection and classification (such as port-based and load- based methods). This project investigates new theories, methods and techniques for solving ....Privacy-Preserving Classification for Big-Data Driven Network Traffic. Protecting sensitive information in large network traffic flows while ensuring data usability for classification emerges as a critical problem of increasing significance. Existing techniques do not work on highly heterogeneous traffic from big-data applications for both privacy protection and classification (such as port-based and load- based methods). This project investigates new theories, methods and techniques for solving this problem. It proposes to develop a set of effective methods for privacy-preserving data publication through combining randomisation with anonymisation, and for classifying the published data through uncertainty leveraging by probabilistic reasoning and accuracy lifting by inter-flow correlation analysis and active learning.Read moreRead less
Integration of Object Behavior in Federated Information Systems. Integration of autonomous object-oriented systems requires the integration
of object structure and object behaviour. Research in federated information
systems has so far mainly addressed integration of object structure. This
project will investigate the integration of object behaviour, especially object
life cycles. A major application area is the integration of business processes,
which is typically required when companies me ....Integration of Object Behavior in Federated Information Systems. Integration of autonomous object-oriented systems requires the integration
of object structure and object behaviour. Research in federated information
systems has so far mainly addressed integration of object structure. This
project will investigate the integration of object behaviour, especially object
life cycles. A major application area is the integration of business processes,
which is typically required when companies merge or enter into
consumer-producer relationships and constitutes a key capability for B2B e-commerce
systems. Consistency criteria for behaviour integration
will be defined and applied in a graphical integration tool that guides the
definition of global behavioural views upon autonomous object-oriented systems.
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Dynamic Semantic Interoperability for Business Processes. The integration of independently developed applications constitutes
one of the major bottlenecks in modern software development in
business, industry, and defense, in particular for a nation such as
Australia that is highly reliant on overseas trade. Technologies that
facilitate the smooth application integration promise significant
savings in software development. By offering automated support task,
this project offers the potenti ....Dynamic Semantic Interoperability for Business Processes. The integration of independently developed applications constitutes
one of the major bottlenecks in modern software development in
business, industry, and defense, in particular for a nation such as
Australia that is highly reliant on overseas trade. Technologies that
facilitate the smooth application integration promise significant
savings in software development. By offering automated support task,
this project offers the potential of significant cost savings, highly
beneficial to any industry with a major ICT component. Lessons learned
from the demonstration prototype can be directly carried over into
commercial tool development. The project strengthens links to high
quality European research laboratories.
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What Can You Trust in the Large and Noisy Web? This project will develop innovative techniques to efficiently and effectively distill truthful information from the inherently unreliable and large-scale Web environment, where misinformation has been widely regarded as a grand challenge for the next decade. The results of this project will not only maintain Australia’s leadership in this frontier research area, but also support many important applications that safeguard Australian people and econo ....What Can You Trust in the Large and Noisy Web? This project will develop innovative techniques to efficiently and effectively distill truthful information from the inherently unreliable and large-scale Web environment, where misinformation has been widely regarded as a grand challenge for the next decade. The results of this project will not only maintain Australia’s leadership in this frontier research area, but also support many important applications that safeguard Australian people and economy such as emergency and disaster management and online healthcare. This project also serves as an excellent vehicle for the education and training of Australia’s next generation of scholars and engineers.Read moreRead less
ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environme ....ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environments. EII will address 3 tightly coupled research themes: Ability to interoperate across existing heterogenous platforms & applications; Efficient processing of very large data sets; Technology adoption & impact. Generic results will be applicable to e-science and large business information systems installations.Read moreRead less
Techniques for active conceptual modelling and guided data mining for rapid knowledge discovery. Quick, accurate responses to rapidly evolving phenomena are essential. This project will develop a platform able to accept data from a variety of sources in advance of the full definition of the associated conceptual model. The project will facilitate rapid querying and direct manipulation of the mining process allowing fast, user-oriented results.
Special Research Initiatives - Grant ID: SR0567450
Funder
Australian Research Council
Funding Amount
$109,564.00
Summary
Real-time control and data analysis of remote synchrotron microprobe experiments. A Canadian-Australian collaboration to design and construct sister synchrotron microdiffraction fluorescence probes (mDFP) commenced in 2004. The Canadian mDFP will be available in the first half of 2006, at least two years prior to the sister facility at the Australian Synchrotron. The proposed project will extend this collaboration to develop a system for remote control of mDFP experiments, incorporating real-t ....Real-time control and data analysis of remote synchrotron microprobe experiments. A Canadian-Australian collaboration to design and construct sister synchrotron microdiffraction fluorescence probes (mDFP) commenced in 2004. The Canadian mDFP will be available in the first half of 2006, at least two years prior to the sister facility at the Australian Synchrotron. The proposed project will extend this collaboration to develop a system for remote control of mDFP experiments, incorporating real-time data analysis and 3D visualization. This system will enable Australian scientists to use the Canadian mDFP, and subsequently the Australian Synchrotron mDFP, from their home institutions. The resulting flexibility of scheduling and alleviation of downtime for travel will be particularly beneficial for industry users.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100950
Funder
Australian Research Council
Funding Amount
$368,446.00
Summary
Building intelligence into online video services by learning user interests. This project aims to build an intelligent video streaming service by characterising users’ view interest patterns and predict user interest changes through learning data from Internet to address the challenge caused by astronomic video population. The outcomes of the project will be of great values for users and our society by intelligently filtering out valueless, harmful, illegal and unwanted videos in advance.