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
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
Discovery Early Career Researcher Award - Grant ID: DE130101061
Funder
Australian Research Council
Funding Amount
$373,697.00
Summary
Personal safety in the city: design solutions for after dark. The research will provide insights into the potential for mobile technology to be designed to enhance personal safety in urban environments at night. It will do so by identifying individual personal harm reduction and safety strategies, and examining the opportunities to use technology to amplify these strategies.
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.
Engaging Augmented Reality on 3D Head Up Displays to Reduce Risky Driving. This project aims to reduce risky driving behaviours through novel augmented reality applications for three-dimensional head-up displays, making safe driving more engaging so that drivers will take less risk. Over 1 million people are killed and 50 million are seriously injured on roads each year worldwide. Risky driving behaviours (speeding and distracted driving) are major causes. This project intends to produce novel i ....Engaging Augmented Reality on 3D Head Up Displays to Reduce Risky Driving. This project aims to reduce risky driving behaviours through novel augmented reality applications for three-dimensional head-up displays, making safe driving more engaging so that drivers will take less risk. Over 1 million people are killed and 50 million are seriously injured on roads each year worldwide. Risky driving behaviours (speeding and distracted driving) are major causes. This project intends to produce novel in-car interaction design implementations, provide important visual design guidelines for future display technologies, and provide novel road safety interventions.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140101542
Funder
Australian Research Council
Funding Amount
$395,220.00
Summary
Risky Gadgets to the Rescue: Designing Personal Ubicomp Devices to Foster Safer Driving Behaviours in Young Males. Young males are over-represented in road crashes. Part of the problem is their proneness to boredom, a hardwired personality factor that can lead to risky driving or distractions. This project aims to design innovative ubiquitous computing technologies that make safe driving more stimulating and pleasurable. This research will inform the future design of personal ubiquitous devices ....Risky Gadgets to the Rescue: Designing Personal Ubicomp Devices to Foster Safer Driving Behaviours in Young Males. Young males are over-represented in road crashes. Part of the problem is their proneness to boredom, a hardwired personality factor that can lead to risky driving or distractions. This project aims to design innovative ubiquitous computing technologies that make safe driving more stimulating and pleasurable. This research will inform the future design of personal ubiquitous devices that pose a threat to road safety, by replacing the stimuli from risky driving with safer stimuli and simulating risk to increase risk perception when it is actually not present. This project aims to reduce risky driving behaviours, and, in the process, advance our knowledge about the role of boredom in the road safety context.Read moreRead less
Developing Adversary-Aware Classifiers for Android Malware Detection. Smartphones have become increasingly ubiquitous in people’s everyday life. However, it was reported that one in every five Android applications were actually malware, considering that Android has taken 88% market share of mobile phones. As an effective technique, machine learning has been widely adopted to detect Android malware. However, recent work suggests that deliberately-crafted malware makes machine learning ineffective ....Developing Adversary-Aware Classifiers for Android Malware Detection. Smartphones have become increasingly ubiquitous in people’s everyday life. However, it was reported that one in every five Android applications were actually malware, considering that Android has taken 88% market share of mobile phones. As an effective technique, machine learning has been widely adopted to detect Android malware. However, recent work suggests that deliberately-crafted malware makes machine learning ineffective. In this project, we propose to develop a series of new techniques, such as 1) Android contextual analysis, 2) wrapper-based hill climbing algorithm, and 3) ensemble learning, to solve this problem. The outcomes will help Australia gain cutting edge technologies in adversarial machine learning and mobile security.Read moreRead less
Information systems theory for location-based educational services in informal learning environments. Creating technology enhanced learning experiences will be critical to the way we educate and engage with future generations. This project will seek to develop a stronger theoretical basis for understanding how location-based technologies can enhance learning outcomes of school students visiting three of Australia's leading cultural institutions.
Data-driven Traffic Analytics for Incident Analysis and Management. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended ....Data-driven Traffic Analytics for Incident Analysis and Management. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended outcomes will be an innovative incident analysis and management framework synergising traffic data analytics and traffic simulation modelling as well as its key enabling techniques and prototype systems. This will significantly help mitigate incident impacts on daily commuters.Read moreRead less
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