Mobile Device Autoconfiguration. Todays cellular networks are built to optimise spectrum efficiency by combining specific codecs and matching bearer services. With general purpose mobile terminals that can access different network types the applications will break this optimisation by using generic codecs. This project aims at solving this problem by letting the access networks configure the terminals with the natively supported codecs and bearer service definitions. The project will lead to con ....Mobile Device Autoconfiguration. Todays cellular networks are built to optimise spectrum efficiency by combining specific codecs and matching bearer services. With general purpose mobile terminals that can access different network types the applications will break this optimisation by using generic codecs. This project aims at solving this problem by letting the access networks configure the terminals with the natively supported codecs and bearer service definitions. The project will lead to considerably higher cost effectiveness in the emerging mobile Internet.Read moreRead less
Classifying Internet traffic for security applications. As the internet traffic data exponentially increases every year, traffic classification has become a fundamental approach to the security of the Internet. This project aims to develop a set of novel techniques for internet traffic classification, which is fundamentally important to defend against the serious cyber-attacks and effectively minimise the damages. This project is significant as it can help to improve cyber security, which is ess ....Classifying Internet traffic for security applications. As the internet traffic data exponentially increases every year, traffic classification has become a fundamental approach to the security of the Internet. This project aims to develop a set of novel techniques for internet traffic classification, which is fundamentally important to defend against the serious cyber-attacks and effectively minimise the damages. This project is significant as it can help to improve cyber security, which is essential for the work and daily lives of the Australian people. Furthermore, the proposed models and techniques will be important for enhancing the protection of Australian critical infrastructures against malicious cyber-attacks.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.
Modelling and defence against malware propagation. As the internet has become vital to our day-to-day working and living, we are witnessing a remarkable upsurge in the incidents of malicious software or malware on it. This project aims to develop key technologies that can precisely model the malware propagation on the internet. The technologies will help develop effective defence against malware propagation at an early stage, with limited defence resources, so as to minimise the damage and provi ....Modelling and defence against malware propagation. As the internet has become vital to our day-to-day working and living, we are witnessing a remarkable upsurge in the incidents of malicious software or malware on it. This project aims to develop key technologies that can precisely model the malware propagation on the internet. The technologies will help develop effective defence against malware propagation at an early stage, with limited defence resources, so as to minimise the damage and provide a capability to identify and control malware spreaders. This project is significant as it can secure the internet that is essential to the daily work of Australian people, thus addresses a fundamental problem in safeguarding Australia by protecting our critical infrastructure.Read moreRead less
Stream Data Classification in the Age of 5G Networks. This project aims to develop a novel stream data classification model to handle the challenges in the era of 5G networks, such as the scope of the stream data, the complexity of their relationship, the diversity of contained information and the incorrect readings of numerous sensors. The project addresses a significant knowledge gap by exploring and modelling the stronger correlation between data instances in the streams. The outcome is a sys ....Stream Data Classification in the Age of 5G Networks. This project aims to develop a novel stream data classification model to handle the challenges in the era of 5G networks, such as the scope of the stream data, the complexity of their relationship, the diversity of contained information and the incorrect readings of numerous sensors. The project addresses a significant knowledge gap by exploring and modelling the stronger correlation between data instances in the streams. The outcome is a system that is highly efficient, accurate and corrupted-data-tolerant classification solutions for individual stream data as well as multiple stream data. The expected benefits will be far-ranging and adaptable to many domains, such as smart home, medical and healthcare, transportation and manufacturing. Read moreRead less
Architecture-based Open Network Management Systems for Next Generation Telecommunications. We aim to develop an open, policy-based architecture for the management of next generation telecommunications networks. It is expected that a comprehensive Open Architecture-based Telecommunications Management Network (AuTuMN) framework could be put in place to manage the network based on centralised policies and roles rather than having to handle individual users and elements. Significantly, the scient ....Architecture-based Open Network Management Systems for Next Generation Telecommunications. We aim to develop an open, policy-based architecture for the management of next generation telecommunications networks. It is expected that a comprehensive Open Architecture-based Telecommunications Management Network (AuTuMN) framework could be put in place to manage the network based on centralised policies and roles rather than having to handle individual users and elements. Significantly, the scientific knowledge of open systems and network management systems for next generation networks will be extended.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100679
Funder
Australian Research Council
Funding Amount
$395,220.00
Summary
Real-time query processing over multi-dimensional uncertain data streams. Real-time query processing of multi-dimensional uncertain data streams is fundamental in many applications such as environmental monitoring and location based services. This project aims to develop effective techniques to explore the massive multi-dimensional uncertain data streams in real time. The project will develop, analyse, implement and evaluate novel indexing and query processing techniques to effectively and effic ....Real-time query processing over multi-dimensional uncertain data streams. Real-time query processing of multi-dimensional uncertain data streams is fundamental in many applications such as environmental monitoring and location based services. This project aims to develop effective techniques to explore the massive multi-dimensional uncertain data streams in real time. The project will develop, analyse, implement and evaluate novel indexing and query processing techniques to effectively and efficiently support a set of primitive queries including rank-based queries, dominance-based queries and proximity-based queries. The results of this project will be an important complement to the development of data stream systems and will bring considerable social, economic and technological benefits to Australia.Read moreRead less
Monitoring social events for user online behaviour analytics. This project aims to investigate the influence of public attention on steering user online behaviour. The exponential growth of online behaviour data makes online behaviour analytics increasingly important in social, commercial and political environments, but existing methods rely on user profiles only. The project will unify external social events with user profiles for behaviour analytics, and develop approaches for event database i ....Monitoring social events for user online behaviour analytics. This project aims to investigate the influence of public attention on steering user online behaviour. The exponential growth of online behaviour data makes online behaviour analytics increasingly important in social, commercial and political environments, but existing methods rely on user profiles only. The project will unify external social events with user profiles for behaviour analytics, and develop approaches for event database indexing, event-influenced behaviour modelling and prediction. The success of this project is expected to enhance users’ online experience and improve e-commerce’s market value.Read moreRead less
Taming the uncertainty in trajectory data. This project aims to develop effective and efficient methods to manage large scale uncertain trajectory data. It provides individuals, business, government and social groups the ability to explore significant uncertain trajectories and their patterns, for important usages in location based services, logistic, transportation and tourism.
Deep attribute-aware hashing for cross retrieval. This project aims to enable individuals, industries and governments, to freely access vital and linked information carried in different media types from different sources by developing a deep attribute-aware framework that embeds heterogeneous features into a shared data space to achieve effective and efficient cross system information retrieval. With the proliferation of heterogeneous data sources, there is an urgent need to enable search and re ....Deep attribute-aware hashing for cross retrieval. This project aims to enable individuals, industries and governments, to freely access vital and linked information carried in different media types from different sources by developing a deep attribute-aware framework that embeds heterogeneous features into a shared data space to achieve effective and efficient cross system information retrieval. With the proliferation of heterogeneous data sources, there is an urgent need to enable search and retrieval across different media types and domains. The framework developed by the project uses deep learning methods to develop meaningful image attributes to positively bridge the modality gap and the domain gap when hash functions are affixed to data. This project will significantly advance the research of multimedia retrieval, and benefit a series of related research problems whenever heterogeneous multimedia data are involved in their applications.Read moreRead less