Preventing Exfiltration of Sensitive Data by Malicious Insiders or Malwares. Data exfiltration is a serious threat as highlighted in recent leakage of sensitive data that resulted in huge economic losses as well as unprecedented breaches of national security. The aim of this project is to develop a comprehensive and robust solution for detection and prevention of sensitive data exfiltration attempts by malware and unauthorised human users. Expected outcomes include scalable monitoring methods an ....Preventing Exfiltration of Sensitive Data by Malicious Insiders or Malwares. Data exfiltration is a serious threat as highlighted in recent leakage of sensitive data that resulted in huge economic losses as well as unprecedented breaches of national security. The aim of this project is to develop a comprehensive and robust solution for detection and prevention of sensitive data exfiltration attempts by malware and unauthorised human users. Expected outcomes include scalable monitoring methods and efficient algorithms that will be able to prevent real-time exfiltration and identify previously undetected exfiltration of sensitive data. This should provide significant benefits to governments, defence networks as well as businesses and health sectors, as it will protect them from sophisticated cyber attacks.
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Blind separation of mutually correlated sources. This project is aimed at developing novel techniques for blind separation of mutually correlated sources. The expected outcomes will significantly advance the theory of blind source separation and improve the performance of important practical systems, such as densely deployed sensor networks and wireless video surveillance systems.
Assistive technologies for autism support harnessing social media. This project aims to tap social media to revolutionize early intervention therapy for children with autism. By creating open, extensible software for therapy delivery, and tools for parents to access high quality information and support, we will provide children a greater chance to achieve their potential and much-needed relief for parents and carers.
Centre Of Research Excellence On Sitting Time And Chronic Disease Prevention – Mechanisms, Measurement And Interventions
Funder
National Health and Medical Research Council
Funding Amount
$2,657,874.00
Summary
Australian research has identified serious health consequences arising from the 7 to 10 hours of daily sitting that most people do, especially in relation to ‘diseases of inactivity’ – type 2 diabetes, coronary heart disease and breast and colon cancer – that are an unwelcome burden on individuals, families and health systems. This new research examines the practical feasibility and the preventive-health benefits of changing children’s and adults’ sitting time in schools, workplaces and the home ....Australian research has identified serious health consequences arising from the 7 to 10 hours of daily sitting that most people do, especially in relation to ‘diseases of inactivity’ – type 2 diabetes, coronary heart disease and breast and colon cancer – that are an unwelcome burden on individuals, families and health systems. This new research examines the practical feasibility and the preventive-health benefits of changing children’s and adults’ sitting time in schools, workplaces and the home environment.Read moreRead less
Secure Management of Internet of Things Data for Critical Surveillance. This project aims to develop innovative models/algorithms to manage Internet of Things (IoT) data safely and reliably. This project expects to generate new knowledge in the area of classified information governance using innovative data collection, transmission and analysis techniques that overcome the security concerns in large-scale collaborative sensing. Expected outcomes include novel abstract interfaces for IoT, adaptiv ....Secure Management of Internet of Things Data for Critical Surveillance. This project aims to develop innovative models/algorithms to manage Internet of Things (IoT) data safely and reliably. This project expects to generate new knowledge in the area of classified information governance using innovative data collection, transmission and analysis techniques that overcome the security concerns in large-scale collaborative sensing. Expected outcomes include novel abstract interfaces for IoT, adaptive trust and integrity preserving methods, and reliable distributed data processing mechanisms to mitigate vulnerabilities in real-time IoT-enabled critical surveillance. This should provide significant benefits to Australia's economy, one of which is the enhanced consumer-centric adoption of IoT for sensitive operations.Read moreRead less
Personalised Privacy-Preserving Network Data Publishing System . Data sharing has become a driving force for many businesses in industrial sectors. This project aims to develop a privacy preserving network data publishing system that can preserve user privacy in a personalised way while maintaining maximal utility of the published data. To make accurate privacy preservation, this project will design novel learning models to derive accurate users’ correlation and their privacy intention, develop ....Personalised Privacy-Preserving Network Data Publishing System . Data sharing has become a driving force for many businesses in industrial sectors. This project aims to develop a privacy preserving network data publishing system that can preserve user privacy in a personalised way while maintaining maximal utility of the published data. To make accurate privacy preservation, this project will design novel learning models to derive accurate users’ correlation and their privacy intention, develop efficient privacy preserving algorithms to deal with static and dynamic network data sharing. The success of this project will benefit many industries and government agencies to reduce users’ privacy breaches, avoid illegal consequences of sharing data, and enhance these service providers’ service quality.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
Workplace Interventions To Reduce The Cost Of Neck Problems In Office Personnel
Funder
National Health and Medical Research Council
Funding Amount
$660,834.00
Summary
Neck pain in office workers is a major burden in industry in terms of lost productivity and personal suffering. This research will evaluate a novel intervention for the prevention and management of neck pain in computer users. The impact and value of neck specific exercises and best practice office ergonomics will be evaluated from the employers (productivity loss) and workers perspective (severity of neck pain). The findings will directly benefit future management of this significant health iss ....Neck pain in office workers is a major burden in industry in terms of lost productivity and personal suffering. This research will evaluate a novel intervention for the prevention and management of neck pain in computer users. The impact and value of neck specific exercises and best practice office ergonomics will be evaluated from the employers (productivity loss) and workers perspective (severity of neck pain). The findings will directly benefit future management of this significant health issue.Read moreRead less
Innovative Health Programs To Reduce Inequality In Heart Disease
Funder
National Health and Medical Research Council
Funding Amount
$876,005.00
Summary
As part of his Senior NHMRC Fellowship, Prof Simon Stewart, a world-renowned health services researcher, will lead an internationally linked team of researchers from a broad range of health disciplines to undertake a program of research designed to improve the lives of those most vulnerable to heart disease and poor health outcomes. His program of research will focus on Indigenous Australians, patients with complex forms of heart disease and urban African communities in economic transition.
Personalised Online Learning Analytics by Exploring Multilayer Graph Data . Learning analytics is becoming a significant factor in reducing the drop-out rate of students in online learning. The aim of this project is to develop a reliable, robust, real-time analysis system that automatically reveals multilayered relationships, evaluates students' learning performance, and generates a personal study plan through discovery. This project includes the design of novel algorithms for multilayer graph ....Personalised Online Learning Analytics by Exploring Multilayer Graph Data . Learning analytics is becoming a significant factor in reducing the drop-out rate of students in online learning. The aim of this project is to develop a reliable, robust, real-time analysis system that automatically reveals multilayered relationships, evaluates students' learning performance, and generates a personal study plan through discovery. This project includes the design of novel algorithms for multilayer graph processing, pattern recognition in learning activities, learning performance assessment, and personalised study plan recommendations. The success of this project will significantly enhance the success of online education both in Australia and worldwide and; hence, will save time, money and resources for end users.Read moreRead less