Privacy preserving and data utility in outsourced systems. Making the best tradeoff between data privacy and utility is a vital challenge in privacy-preserving outsourcing environments. This project aims to develop a balanced distributed framework to achieve the best utility of outsourced data while protecting private information. The framework consists of general structure of distributed evolutionary algorithms and a predefined topology for high optimization efficiency and a dynamic groupin ....Privacy preserving and data utility in outsourced systems. Making the best tradeoff between data privacy and utility is a vital challenge in privacy-preserving outsourcing environments. This project aims to develop a balanced distributed framework to achieve the best utility of outsourced data while protecting private information. The framework consists of general structure of distributed evolutionary algorithms and a predefined topology for high optimization efficiency and a dynamic grouping recombination model. The project outcomes will be beneficial to applications in the nation as it incorporates new privacy constraints and utility requirements raised by emerging technologies to enable better protection of sensitive information and maximal data utility in outsourced systems. Read moreRead less
A data driven paradigm for service-oriented system engineering. This project aims to design and develop a data driven paradigm for service-oriented system engineering that allows system engineers and domain experts in different domains to build software systems easily in order to enable fast technology transfer within and across domain boundaries. This model integrates and automates a suite of efficient approaches for system structure determination, validation and recommendation based on keyword ....A data driven paradigm for service-oriented system engineering. This project aims to design and develop a data driven paradigm for service-oriented system engineering that allows system engineers and domain experts in different domains to build software systems easily in order to enable fast technology transfer within and across domain boundaries. This model integrates and automates a suite of efficient approaches for system structure determination, validation and recommendation based on keyword search, subgraph isomorphism and substructure query techniques. This project is expected to significantly accelerate the application of new technologies, for example, big data analytics and Internet of Things, in many of Australia's critical domains such as e-Health, smart cities, and cybersecurity.Read moreRead less
Developing an effective defence to cyber-reputation manipulation attacks. This project will develop new technologies for businesses to accurately identify fake internet reviews. Fake reviews, paid for and/or written with malicious intent, can cause irreparable damage to businesses resulting in revenue loss, consumer dissatisfaction or even closure of businesses. However they are difficult to identify, as they continuously evolve to avoid detection and the volume of Internet reviews makes analysi ....Developing an effective defence to cyber-reputation manipulation attacks. This project will develop new technologies for businesses to accurately identify fake internet reviews. Fake reviews, paid for and/or written with malicious intent, can cause irreparable damage to businesses resulting in revenue loss, consumer dissatisfaction or even closure of businesses. However they are difficult to identify, as they continuously evolve to avoid detection and the volume of Internet reviews makes analysis a monumental task. This project will provide advanced tools to detect fake website reviews and a cybersecurity system prototype ready to be used by industry, making Australia a leader in this field and resulting in a safer internet environment for all.Read moreRead less
New digital deep-time exploration tools for a low-emissions economy. Demand for critical minerals will soar as renewable energy generation increases, but exploration companies currently cannot take full advantage of available exploration data in an Earth evolution context. This project will generate new knowledge in big and complex geodata analysis using an innovative data mining approach. It will enable Lithodat, a small enterprise, to perform cloud-based plate tectonic reconstruction, visualis ....New digital deep-time exploration tools for a low-emissions economy. Demand for critical minerals will soar as renewable energy generation increases, but exploration companies currently cannot take full advantage of available exploration data in an Earth evolution context. This project will generate new knowledge in big and complex geodata analysis using an innovative data mining approach. It will enable Lithodat, a small enterprise, to perform cloud-based plate tectonic reconstruction, visualisation and spatio-temporal analysis of geodata for resource exploration. The outcomes include an enhanced capacity to generate ore prospectivity maps and an improved understanding of their tectonic, geochemical, and geophysical signatures, benefiting Lithodat and their clients in the search for new mineral deposits.Read moreRead less
Finding answers for complex questions. This project aims to develop a new search paradigm for on-line search engines that presents users with answers to complex questions, rather than forcing them to find answers themselves from lists of retrieved documents. The project will develop a taxonomy of complex answer search tasks, devise novel techniques to increase the effectiveness of complex answer retrieval through interaction and, create a new evaluation framework for precise measurement of syste ....Finding answers for complex questions. This project aims to develop a new search paradigm for on-line search engines that presents users with answers to complex questions, rather than forcing them to find answers themselves from lists of retrieved documents. The project will develop a taxonomy of complex answer search tasks, devise novel techniques to increase the effectiveness of complex answer retrieval through interaction and, create a new evaluation framework for precise measurement of system effectiveness. This project should provide significant advances that will benefit all users of search engines.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100064
Funder
Australian Research Council
Funding Amount
$422,022.00
Summary
Fair and Transparent Information Access in Spoken Conversational Assistants. This project aims to investigate how rich information needed to answer complex questions can be delivered via a speech-only communication channel. Using laboratory user studies, where users can interact with a smart speaker to ask for information about controversial or multi-perspective topics, the project expects to advance knowledge on how to expose pertinent information without creating or reinforcing biases. Expecte ....Fair and Transparent Information Access in Spoken Conversational Assistants. This project aims to investigate how rich information needed to answer complex questions can be delivered via a speech-only communication channel. Using laboratory user studies, where users can interact with a smart speaker to ask for information about controversial or multi-perspective topics, the project expects to advance knowledge on how to expose pertinent information without creating or reinforcing biases. Expected outcomes include novel presentation strategies to access rich information via audio in a fair manner. This should significantly benefit the visually impaired and low-literacy communities by enhancing their access to topics with multiple point of views, which would impact decision making such as who to vote for in elections.Read moreRead less
Adaptive and Ubiquitous Trust Framework for Internet of Things interactions. The aim of the project is to address the Trust challenges in Internet of Things (IoT) environments, thus enabling the wide deployment of potentially billions of IoT devices. This project will generate new knowledge in the area of IoT Trust by developing novel techniques to establish trust in highly dynamic crowdsourcing IoT environments. The project's main outcomes include the development of a ubiquitous and adaptive mu ....Adaptive and Ubiquitous Trust Framework for Internet of Things interactions. The aim of the project is to address the Trust challenges in Internet of Things (IoT) environments, thus enabling the wide deployment of potentially billions of IoT devices. This project will generate new knowledge in the area of IoT Trust by developing novel techniques to establish trust in highly dynamic crowdsourcing IoT environments. The project's main outcomes include the development of a ubiquitous and adaptive multi-component trust framework reflecting trust perspectives. The developed solutions will allow the establishment of trusted interactions among crowdsourced IoT devices and wider deployment of convenient and just-in-time services, thus enabling the development of novel applications, such as the crowdsourcing of green energy.Read moreRead less
New approaches to interactive sessional search for complex tasks. This project aims to develop new tools and techniques to improve the accuracy and speed of search and data analytics for complex information tasks. There are currently no publicly available search engines which support users engaged in complex interactive search, or that allow searchers to fully control their own data and privacy. Fundamental research advances, based on understanding real user behaviour and search needs will have ....New approaches to interactive sessional search for complex tasks. This project aims to develop new tools and techniques to improve the accuracy and speed of search and data analytics for complex information tasks. There are currently no publicly available search engines which support users engaged in complex interactive search, or that allow searchers to fully control their own data and privacy. Fundamental research advances, based on understanding real user behaviour and search needs will have an impact on important academic, industrial, and government domains, including virtual assistants, health care (clinical decision support), precision medicine, eDiscovery, crime prevention, and detailed socio-economic evaluations.Read moreRead less
Confronting everyday harms: preventing abuse of people with disability. The findings of the Disability Royal Commission necessitate new approaches to prevent violence, abuse, neglect and exploitation. Framed by recognition theory, this project proposes empirical research with young people with cognitive disability, using a new concept of ‘everyday harms’ in their paid relationships. The results will inform early responses to poor quality interactions in disability support. The strategic alliance ....Confronting everyday harms: preventing abuse of people with disability. The findings of the Disability Royal Commission necessitate new approaches to prevent violence, abuse, neglect and exploitation. Framed by recognition theory, this project proposes empirical research with young people with cognitive disability, using a new concept of ‘everyday harms’ in their paid relationships. The results will inform early responses to poor quality interactions in disability support. The strategic alliances with the government, industry and community partners will develop a practice framework to prevent everyday harms and the escalation to abuse, and to promote safety and wellbeing. The research has policy benefits for capacity-building in the sector to act on the rights and voices of people with disability. Read moreRead less