Improved Businesss Decision-Making via Liquid Process Model Collections. This project aims to develop an innovative approach to create and update as necessary the large collection of business process models that represent a complex organisation, so that this collection captures the actual way in which the organisation performs its business processes. Deploying theoretical, conceptual and empirical research, this project aims to capitalise on the value hidden in large process data, as recorded in ....Improved Businesss Decision-Making via Liquid Process Model Collections. This project aims to develop an innovative approach to create and update as necessary the large collection of business process models that represent a complex organisation, so that this collection captures the actual way in which the organisation performs its business processes. Deploying theoretical, conceptual and empirical research, this project aims to capitalise on the value hidden in large process data, as recorded in event logs. The approach is intended to be implemented in an open-source technology to facilitate advanced investigations and predictions that can ultimately lead to better strategic decision-making. This technology also has the potential to become a research-enabling tool for the large research community in business process management.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
Development of methods to address internet crime. If this research accomplishes successfully, it will be a big step forward in terms of traceback scope, accuracy, usability and deployment. This will empower authorities to control and punish Internet crimes more effectively and efficiently. It will also limit the damage caused by Internet crimes quickly. For example, if we can quickly identify the origins of a fast spreading virus, we will be able to prevent its propagation as fast as possible. I ....Development of methods to address internet crime. If this research accomplishes successfully, it will be a big step forward in terms of traceback scope, accuracy, usability and deployment. This will empower authorities to control and punish Internet crimes more effectively and efficiently. It will also limit the damage caused by Internet crimes quickly. For example, if we can quickly identify the origins of a fast spreading virus, we will be able to prevent its propagation as fast as possible. If we can quickly identify and block a harmful phishing site, then less innocent people will be deceived into disclosing their credit card numbers, bank account information, passwords or other sensitive information.Read moreRead less
Combating Fake News on Social Media: From Early Detection to Intervention. The project aims to detect fake news early to minimise the negative impact of false information. This project expects to devise novel solutions to address technical challenges for detection of fake news with scarce signals. Expected outcomes of this project include a suite of data mining and machine learning models for identification of fake news from the social media stream, prediction of user propagation of false infor ....Combating Fake News on Social Media: From Early Detection to Intervention. The project aims to detect fake news early to minimise the negative impact of false information. This project expects to devise novel solutions to address technical challenges for detection of fake news with scarce signals. Expected outcomes of this project include a suite of data mining and machine learning models for identification of fake news from the social media stream, prediction of user propagation of false information as well as recommendation of truthful news to counteract adversarial fake news. This project should generate technologies that enhance the integrity of the online echo system and benefit media providers and online population within Australia and across the world. Read moreRead less
Cost-aware business process management. The project aims to inform business process management (BPM) with the latest insights from the field of management accounting in order to make BPM systems cost-aware. By incorporating the cost dimension, organisations can obtain an accurate and immediate overview of the true cost of their processes and make cost-informed decisions.
Enhancing information security management through organisational learning. This project aims to help organisations to protect their information resources from complex and evolving information security threats. This is highly significant for organisations; evidence shows that despite financing information security programs, the incidence of information security breaches is still increasing. To address this issue, the project plans to use a security learning process model which will be refined thr ....Enhancing information security management through organisational learning. This project aims to help organisations to protect their information resources from complex and evolving information security threats. This is highly significant for organisations; evidence shows that despite financing information security programs, the incidence of information security breaches is still increasing. To address this issue, the project plans to use a security learning process model which will be refined through a series of action research cycles. The model incorporates security lessons and insights learnt from incidents into routine security practices. By institutionalising lessons learnt from security incidents, organisations may be able to apply more effective and adaptive security defences to their evolving security threat environment.Read moreRead less
Competing on Business Analytics. Business analytics can provide Australian organisations with a means to gain competitive advantage in the face of increasing global competition. By using the Business Analytics Success Model, Australian organisations will be able to understand better how to gain competitive advantage with business analytics. The model is an original contribution in an important area of information systems research and will contribute to university teaching and research training. ....Competing on Business Analytics. Business analytics can provide Australian organisations with a means to gain competitive advantage in the face of increasing global competition. By using the Business Analytics Success Model, Australian organisations will be able to understand better how to gain competitive advantage with business analytics. The model is an original contribution in an important area of information systems research and will contribute to university teaching and research training. The empirical data and rigorous research protocols will enhance Australia's reputation as a leader in the area of organisational use of business-analytic systems.Read moreRead less
Tracing real Internet attackers through information correlation. If this research accomplishes successfully, it will be a big step forward on tracing Internet attackers in terms of traceback scope, accuracy, usability and deployment. This will empower authorities to control and punish Internet crime and terrorism. It will also greatly reduce the damage caused by Internet crime and terrorism. The prototype of the distributed information correlation tracing system can possibly be patented or even ....Tracing real Internet attackers through information correlation. If this research accomplishes successfully, it will be a big step forward on tracing Internet attackers in terms of traceback scope, accuracy, usability and deployment. This will empower authorities to control and punish Internet crime and terrorism. It will also greatly reduce the damage caused by Internet crime and terrorism. The prototype of the distributed information correlation tracing system can possibly be patented or even be commercialised. The capability of a nation to trace the real source of any attacks on its information infrastructure is central to the control of such attacks and hence to a nation's long-term survival and prosperity.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
Privacy Protection in Distributed Data Mining. Information and Communications Technology (ICT) has dramatically altered the world's social and economic landscape. 'From data to knowledge' is one of the priority challenges recognized by National ICT Australia. However, privacy concerns may prevent it from realization. This project aims to fulfil 'from data to knowledge' without breaching privacy of data from distributed resources held by different parties. The outcomes of this project will create ....Privacy Protection in Distributed Data Mining. Information and Communications Technology (ICT) has dramatically altered the world's social and economic landscape. 'From data to knowledge' is one of the priority challenges recognized by National ICT Australia. However, privacy concerns may prevent it from realization. This project aims to fulfil 'from data to knowledge' without breaching privacy of data from distributed resources held by different parties. The outcomes of this project will create new directions in the research of privacy-preserving distributed data mining and are applicable to Australian counter-terrorism and homeland defence in detecting bio-terrorism from privacy sensitive data.Read moreRead less