Betrayed by Apps: Automated, Scalable Detection of Mobile App Malpractices. This project aims to develop a novel framework to detect content and privacy malpractices perpetrated by thousands of mobile apps. It will use innovative models and algorithms to achieve unprecedented levels of automation and scalability, making it possible for the first time to identify compliance violations across the global app ecosystem. Outcomes will include a knowledge base of prevalent app malpractices, detection ....Betrayed by Apps: Automated, Scalable Detection of Mobile App Malpractices. This project aims to develop a novel framework to detect content and privacy malpractices perpetrated by thousands of mobile apps. It will use innovative models and algorithms to achieve unprecedented levels of automation and scalability, making it possible for the first time to identify compliance violations across the global app ecosystem. Outcomes will include a knowledge base of prevalent app malpractices, detection algorithms, and a software framework for scalable app analysis. New evidence and tools will benefit both Australian and global policymakers and regulators in combating malpractices, users in identifying safe mobile apps for themselves, and local and global app market stakeholders in being more diligent about compliance.Read moreRead less
Cost-effective App Service Management in Edge Computing Environment. This project aims to deliver a framework and a suite of approaches for cost-effective app service management in the edge computing (EC) environment facilitated by the 5G mobile network. Edge computing offers great promises for rapidly advancing mobile and IoT apps in many active domains in Australia, e.g., self-driving cars, medical services, etc. Using a variety of optimization techniques and game theory, this project attacks ....Cost-effective App Service Management in Edge Computing Environment. This project aims to deliver a framework and a suite of approaches for cost-effective app service management in the edge computing (EC) environment facilitated by the 5G mobile network. Edge computing offers great promises for rapidly advancing mobile and IoT apps in many active domains in Australia, e.g., self-driving cars, medical services, etc. Using a variety of optimization techniques and game theory, this project attacks the new challenges in the deployment, delivery and adaptation of app services in the EC environment. The outcomes of this project will significantly promote new mobile and IoT apps over Australia's 5G mobile network by allowing app vendors to manage their services cost-effectively with ease in the EC environment.Read moreRead less
Reliable and Seamless Service Provisioning in Mobile Edge Computing . This project aims to develop enabling technologies to provide reliable and seamless services in mobile edge computing environments. This project will develop advanced algorithms with performance guarantees and efficient mechanisms for such service provisioning. The project expects to lay theoretical foundations and generate new knowledge for the provisioning of reliability-aware and mobility-aware services in mobile edge compu ....Reliable and Seamless Service Provisioning in Mobile Edge Computing . This project aims to develop enabling technologies to provide reliable and seamless services in mobile edge computing environments. This project will develop advanced algorithms with performance guarantees and efficient mechanisms for such service provisioning. The project expects to lay theoretical foundations and generate new knowledge for the provisioning of reliability-aware and mobility-aware services in mobile edge computing. The expected outcome of the project is a set of solutions to the myriad of services relying on mobile edge computing including e-Health, autonomous vehicles, and Internet of Things. This project will develop key fundamental technologies to improve Australia’s standing in the international research community.
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Service Provisioning for the Internet of Things in Mobile Edge Computing. This project aims to develop a suite of novel algorithms and enabling technologies for service provisioning of the Internet of Things (IoT) applications in mobile edge computing (MEC). This project will develop performance-guaranteed algorithms and core technologies for IoT service provisioning through effective cost modelling. The project expects to lay theoretical foundations, discover key principles and generate new kno ....Service Provisioning for the Internet of Things in Mobile Edge Computing. This project aims to develop a suite of novel algorithms and enabling technologies for service provisioning of the Internet of Things (IoT) applications in mobile edge computing (MEC). This project will develop performance-guaranteed algorithms and core technologies for IoT service provisioning through effective cost modelling. The project expects to lay theoretical foundations, discover key principles and generate new knowledge for IoT service provisioning in MEC. The expected outcome of the project is a suite of solutions to the myriad of IoT services in MEC including e-Health and autonomous vehicles. This project should also develop key fundamental technologies to improve Australia's standing in the international research community.Read moreRead less
Edge-Accelerated Deep Learning. Implementing deep learning (DL) applications usually requires a large amount of collected data and powerful computing resources in the cloud. However, this centralised approach has issues of high latency, large bandwidth usage, and possible privacy violation for many practical applications. Without properly addressing these issues, the wider application of DL in practice will seriously be hindered. This project aims to solve several key challenging problems in eff ....Edge-Accelerated Deep Learning. Implementing deep learning (DL) applications usually requires a large amount of collected data and powerful computing resources in the cloud. However, this centralised approach has issues of high latency, large bandwidth usage, and possible privacy violation for many practical applications. Without properly addressing these issues, the wider application of DL in practice will seriously be hindered. This project aims to solve several key challenging problems in effective deployment and efficient execution of DL applications in a distributed edge-computing environment. Several innovative edge-computing methods will be developed for DL training, inference and implementation to achieve high performance with low latency and enhanced privacy.Read moreRead less
Exploiting dynamic information in mobile networks. Mobile and wireless networks are ideal for Australia as they provide both low set-up costs and environmentally robust infrastructures. Exploiting mobility to enhance efficiency and cost will place Australia at the forefront of research in mobile networking and will contribute to the worldwide effort towards sustainability and survivability.
Local computations in dynamic networks. This project aims to identify and exploit dynamic networks, and investigate how locally available knowledge affects the computability or the communication complexity of solving a problem. Mobile, wireless, social and other ubiquitous communication networks involve autonomous and highly dynamic entities, but these are often treated as a liability instead of an asset, even when they enhance the network. Local knowledge in the entities’ neighbourhood can make ....Local computations in dynamic networks. This project aims to identify and exploit dynamic networks, and investigate how locally available knowledge affects the computability or the communication complexity of solving a problem. Mobile, wireless, social and other ubiquitous communication networks involve autonomous and highly dynamic entities, but these are often treated as a liability instead of an asset, even when they enhance the network. Local knowledge in the entities’ neighbourhood can make the network more efficient. This project is expected to contribute to the worldwide effort towards advanced technologies and place Australia at the forefront of research in mobile and social networking.Read moreRead less
Decimetre-level indoor positioning on Wi-Fi. This project aims to exploit both spatial and frequency diversities based on the multiple-input, multiple-out and frequency hopping techniques to achieve the goal of decimetre-level position accuracy by significantly increasing Wi-Fi bandwidth. Wi-Fi positioning is utilised in locations where GPS is blocked, typically this is within a structure. The project will design a set of mechanisms to facilitate Wi-Fi positioning, discover key principles to gui ....Decimetre-level indoor positioning on Wi-Fi. This project aims to exploit both spatial and frequency diversities based on the multiple-input, multiple-out and frequency hopping techniques to achieve the goal of decimetre-level position accuracy by significantly increasing Wi-Fi bandwidth. Wi-Fi positioning is utilised in locations where GPS is blocked, typically this is within a structure. The project will design a set of mechanisms to facilitate Wi-Fi positioning, discover key principles to guide practical design, and develop advanced algorithms to push the performance limit to decimetre-level accuracy. The project will develop key fundamental technologies which are expected to promote innovative, practical, and cost-effective applications to local industry and service sectors and contribute to Australia's long-term economic growth.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150101092
Funder
Australian Research Council
Funding Amount
$321,000.00
Summary
User-based Radio Spectrum Harvesting System. Demand on wireless traffic is estimated to increase more than one thousand-fold in the next 10 years. As existing networks are quickly becoming overloaded, this project aims to improve radio spectrum utilisation by harvesting temporarily unused spectrum holes to accommodate future traffic. The proposed spectrum harvesting system is cost-effective as it will rely on a software that runs on users' devices to sense and report spectrum holes to mobile ser ....User-based Radio Spectrum Harvesting System. Demand on wireless traffic is estimated to increase more than one thousand-fold in the next 10 years. As existing networks are quickly becoming overloaded, this project aims to improve radio spectrum utilisation by harvesting temporarily unused spectrum holes to accommodate future traffic. The proposed spectrum harvesting system is cost-effective as it will rely on a software that runs on users' devices to sense and report spectrum holes to mobile service providers. An unprecedented communications framework that incentivises both users and service providers to harvest and trade/share radio spectrum holes will be developed. It will reduce the costs of the radio spectrum, allowing cheaper and better mobile data services for the Australian public.Read moreRead less
Managing private location data in a mobile and networked world: getting the balance right. Location based data are transforming the mobile service industry and this project will develop novel approaches to safeguard the location privacy of mobile individuals. This will facilitate the development of privacy-aware services which can be used for real time traffic monitoring, care for the elderly and smartphone enabled location services.