Effective and Efficient Keyword Search in Relational Databases. Effective and efficient management of information, including textual information, is at the heard of ICT objectives and requirements global wide. The project aims to be of unique value to vitually all Australian industries by providing easier and better information access to their business data. The research conducted in this project will position Australia as one of the leaders in the database and information retrieval research. Th ....Effective and Efficient Keyword Search in Relational Databases. Effective and efficient management of information, including textual information, is at the heard of ICT objectives and requirements global wide. The project aims to be of unique value to vitually all Australian industries by providing easier and better information access to their business data. The research conducted in this project will position Australia as one of the leaders in the database and information retrieval research. The project outcomes in the form of algorithms and systems will provide powerful solutions that are applicable to many Australian and international organisations. It will will also encourage more ICT within Australia and worldwide.Read moreRead less
BigPrivacy: Scaling privacy preservation for big data applications on cloud. This project aims to research scalable privacy preservation for big data applications on cloud. Privacy preservation is a major concern for big data applications on cloud, such as health data analysis where user privacy must be preserved. Scalable solutions can preserve privacy so that data analysis such as health diagnosis can be performed quickly. The expected deliverable is a unified scalable privacy preservation fra ....BigPrivacy: Scaling privacy preservation for big data applications on cloud. This project aims to research scalable privacy preservation for big data applications on cloud. Privacy preservation is a major concern for big data applications on cloud, such as health data analysis where user privacy must be preserved. Scalable solutions can preserve privacy so that data analysis such as health diagnosis can be performed quickly. The expected deliverable is a unified scalable privacy preservation framework with associated algorithms and its prototype, which cloud systems can deploy for big data applications.Read moreRead less
Towards High-Order Structure Search on Large-Scale Graphs. High-order structure search over large-scale graphs has many applications including cybersecurity, crime detection, social media, marketing recommendation, and public health. The project aims to lay the scientific foundations and develop novel computing techniques for efficiently conducting structure search. The outcomes include novel computing paradigms, algorithms, indexing, incremental computation, and distributed solutions. The succe ....Towards High-Order Structure Search on Large-Scale Graphs. High-order structure search over large-scale graphs has many applications including cybersecurity, crime detection, social media, marketing recommendation, and public health. The project aims to lay the scientific foundations and develop novel computing techniques for efficiently conducting structure search. The outcomes include novel computing paradigms, algorithms, indexing, incremental computation, and distributed solutions. The success of the project will directly contribute to the scientific foundation of Big Data computation. It will also contribute to the development of local industry involving cybersecurity, social media based recommendation, network management, and E-business.Read moreRead less
Next generation real-time trajectory mining for travel and transportation decision support. Mining human and vehicle trajectories in real time will enable a suite of next-generation applications such as traffic overload prediction, real-time event detection and route recommendation. This project will develop novel techniques for immediate mining of massive volumes of trajectory data as it is being continuously generated.
Secure and efficient data leak prevention on cloud. The leak of sensitive data on cloud not only poses serious threats to both public and private organisations but also puts their employees and clients at risk, e.g., economic loss and social impact. The aim of this project is to develop a secure and efficient solution that can detect and prevent leak of data in real-time. Uniquely, the proposed research will develop novel techniques that can monitor data leak security incidents happening over ti ....Secure and efficient data leak prevention on cloud. The leak of sensitive data on cloud not only poses serious threats to both public and private organisations but also puts their employees and clients at risk, e.g., economic loss and social impact. The aim of this project is to develop a secure and efficient solution that can detect and prevent leak of data in real-time. Uniquely, the proposed research will develop novel techniques that can monitor data leak security incidents happening over time and captured by different sensors and identify correlations between historic security incidents and current data attacks. This project will significantly help to secure data on cloud for organisations in Australia and benefit fast-growing security sensitive data hosting and applications on cloud.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347466
Funder
Australian Research Council
Funding Amount
$262,000.00
Summary
Australian e-Astronomy. An explosion in the rate of data acquisition in disciplines such as astronomy will require new database structures and management systems. Scientists require fast access and analysis of data from many different telescopes, instruments and theoretical modelling packages. The new directions being explored internationally are based on datagrids, where individual nodes house the physical data archives and expertise, but are networked into a unified system, providing open a ....Australian e-Astronomy. An explosion in the rate of data acquisition in disciplines such as astronomy will require new database structures and management systems. Scientists require fast access and analysis of data from many different telescopes, instruments and theoretical modelling packages. The new directions being explored internationally are based on datagrids, where individual nodes house the physical data archives and expertise, but are networked into a unified system, providing open access to all astronomers. Australian e-Astronomy will provide Phase 1 of a project to develop an astronomy datagrid in Australia, linking to the powerful programs which have just commenced in Europe, UK and the USA.Read moreRead less
Analyzing Uncertain Data: Probabilistic Approaches. The expected research outcome includes siginificantly technical contributions to the uncertain data analysis technology development by supporting probablistic query procesing. The proposed systematic, algorithm and database centric approach to investigate the novel, ubiquitous problems will lead to a greater support, from the database community, to the advanced real applications, and creating new opportunities for the IT industry. The success o ....Analyzing Uncertain Data: Probabilistic Approaches. The expected research outcome includes siginificantly technical contributions to the uncertain data analysis technology development by supporting probablistic query procesing. The proposed systematic, algorithm and database centric approach to investigate the novel, ubiquitous problems will lead to a greater support, from the database community, to the advanced real applications, and creating new opportunities for the IT industry. The success of this project will not only further enhance us as an internationally leading research group in uncertain data analysis and provide training for high quality personnel in this important and growing area but also bring considerable economic and social benefits to Australia.Read moreRead less
Federated Cloud Services Configuration and Orchestration. Cloud computing allows organisations to expand or contract their computing footprint based on existing demand. However, existing cloud delivery models support individual segregated and heterogeneous functionalities, which prevent effective coordinated combination of on-premise and off-premise applications, services, and resources. This project aims to significantly contribute to the scientific foundations for the model-driven and elastic ....Federated Cloud Services Configuration and Orchestration. Cloud computing allows organisations to expand or contract their computing footprint based on existing demand. However, existing cloud delivery models support individual segregated and heterogeneous functionalities, which prevent effective coordinated combination of on-premise and off-premise applications, services, and resources. This project aims to significantly contribute to the scientific foundations for the model-driven and elastic configuration and orchestration of resources over heterogeneous cloud services. The outcomes of the project aim to contribute to lifting productivity and economic growth through interoperable and elastic cloud service technologies as well as delivering appropriate skills for the new digital economy.Read moreRead less
Anticipatory, Adaptive, and Scalable Mobility Infrastructure for On-board Information Access. The recent advances in wireless technologies are offering new opportunities for ubiquitous information access in on-board mobile computing. Realising an effective on-board mobile computing infrastructure poses significant technical challenges at both application and data transport layers. Our approach features the integration of techniques from satellite communications, anticipatory transport protocols ....Anticipatory, Adaptive, and Scalable Mobility Infrastructure for On-board Information Access. The recent advances in wireless technologies are offering new opportunities for ubiquitous information access in on-board mobile computing. Realising an effective on-board mobile computing infrastructure poses significant technical challenges at both application and data transport layers. Our approach features the integration of techniques from satellite communications, anticipatory transport protocols, and personalised data management systems. The final outcome will be generic techniques and concepts for effective and efficient on-board access to global information sources and services (e.g., weather information, stock quotes, and infotainment). These concepts and techniques will have wider application scope, such as aeronautical, maritime and terrestrial public transport systems.Read moreRead less
Computing Order Statistcs over Data Streams. While data stream computation currently is one of the most challenging areas in IT research community, order statistics computation is a very important topic in data stream computation.
This project aims to deliver advanced techniques that promise a great impact on data stream technology. The success of this project will give another competitive edge for Australia to continue her leading role in the development of core IT technology. Moreover,
the ....Computing Order Statistcs over Data Streams. While data stream computation currently is one of the most challenging areas in IT research community, order statistics computation is a very important topic in data stream computation.
This project aims to deliver advanced techniques that promise a great impact on data stream technology. The success of this project will give another competitive edge for Australia to continue her leading role in the development of core IT technology. Moreover,
the research outcome of the project will provide generic solutions to many Australia based
industries, including e-finance, telecommunication, network management, sensor network technology
development, and environment monitoring.
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