An advanced framework for multi-agent strategic interactions. Communication security protocols and computer algorithms are expressible in terms of strategic interactions between competing agents, which can be analyzed in a game theory setting. This project will exploit the recent advances in extending this game theory framework to multidimensional spaces, thereby strengthening the theoretical foundations. This will provide new insights into the working of algorithms, potentially improving futur ....An advanced framework for multi-agent strategic interactions. Communication security protocols and computer algorithms are expressible in terms of strategic interactions between competing agents, which can be analyzed in a game theory setting. This project will exploit the recent advances in extending this game theory framework to multidimensional spaces, thereby strengthening the theoretical foundations. This will provide new insights into the working of algorithms, potentially improving future secure key distribution. Multi-agent interactions in higher dimensional spaces are considered intractable using traditional matrix methods and this project will build on our exciting new breakthrough showing that such interactions are tractable using geometric multivectors.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
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
Diagnosis and prediction of business process deviances. This project aims to develop an innovative approach based on process execution semantics, to analyse event data logged by IT systems in order to diagnose and predict business process deviance. Anticipated outcomes include novel business intelligence algorithms producing deviance diagnostics, predictions and recommendations and exposing results via interactive visual analytics. The outcomes are expected to aid process workers in steering bus ....Diagnosis and prediction of business process deviances. This project aims to develop an innovative approach based on process execution semantics, to analyse event data logged by IT systems in order to diagnose and predict business process deviance. Anticipated outcomes include novel business intelligence algorithms producing deviance diagnostics, predictions and recommendations and exposing results via interactive visual analytics. The outcomes are expected to aid process workers in steering business operations towards consistent and compliant outcomes and higher performance, and assist analysts and auditors to explain deviant operations. This should significantly benefit industries such as healthcare, insurance, retail and the government where compliance and integrity management are imperative.Read moreRead less
A theory of communicative practices within financial internet discussion site communities. This project aims to use online financial investment communities to identify factors that drive communication and influence knowledge co-creation, examine how systematic variations in these factors influence investor decision making, and develop a mid-range theory for explaining and predicting the influence of online communication patterns on individual decisions and market outcomes. By developing and vali ....A theory of communicative practices within financial internet discussion site communities. This project aims to use online financial investment communities to identify factors that drive communication and influence knowledge co-creation, examine how systematic variations in these factors influence investor decision making, and develop a mid-range theory for explaining and predicting the influence of online communication patterns on individual decisions and market outcomes. By developing and validating a new mid-range theory, initially in the financial investment context, this project will provide significant benefits, such as help to secure Australia’s place in a changing world through improved information flow.Read moreRead less
Trusted business processes. This project aims to use conceptual design, process modelling and co-design approaches to create a structured approach for the management of trust. With a focus on business processes, it is intended to develop research- informed methods in order to (1) identify and specify trust concerns and opportunities, (2) model these within a common process modelling language and (3) propose patterns for how to mitigate trust concerns and how to benefit from opportunities. If suc ....Trusted business processes. This project aims to use conceptual design, process modelling and co-design approaches to create a structured approach for the management of trust. With a focus on business processes, it is intended to develop research- informed methods in order to (1) identify and specify trust concerns and opportunities, (2) model these within a common process modelling language and (3) propose patterns for how to mitigate trust concerns and how to benefit from opportunities. If successful, this would lead to an operational, and world first, detailed trust methodology for organisations in all sectors. As a result, Australian customers would engage with business processes with reduced trust concerns and experience increased integrity and benevolence.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120100508
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
A framework for building dynamic knowledge bases in the biomedical domain. This project will provide clinicians and researchers with a semantics and time-aware technique, which will help them work together to build and maintain the knowledge required to support a better management and understanding of the mechanisms (for example, gene mutations) that affect diseases in any biomedical domain.
Reconceptualising the information system as a service. Through parallel efforts in Australia and China, the study aims to propel 'IS-Impact', the Australia-originated and most extensively validated IS success measurement model, to become the Information Systems evaluation approach of choice globally, in both research and practice.
Business process decomposition. This project will develop guidelines to assist analysts in managing complex business processes by decomposing them into more manageable processes. The project outcomes will make it easier to make informed decisions about process re-design, business innovation or software development, thus contributing to project cost savings.
Governance of information technology programmes: achieving accountability, control and success. This project aims to improve the effectiveness with which IT-enabled programmes are managed by public and private organisations. The theoretical knowledge and guides for good practice emerging from this study will contribute to increased success in managing and delivering complex and vital programmes across Australia.