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- Macquarie University Cyber Security Hub
- Macquarie University NSW 2109
- E: cybersecurityhub@mq.edu.au
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Enquire nowMeet our cyber security experts
Meet our teamCyber security is now one of the modern world’s most pressing challenges and a wide technical field with complex and inter-dependent networked systems.
Issues of cyber security require multi-disciplinary collaboration from experts across finance and economics, psychology, health, engineering, risk modelling, law, politics, technology and philosophy.
Macquarie University is well-positioned to drive research, innovation and teaching in cyber security. More than 50 of our academics contribute their knowledge to the Macquarie University Cyber Security Hub, which promotes a uniquely interdisciplinary approach to tackling real-world challenges in cyber security.
Our industry and government partners include:
A key strength of CEPET is its multi-disciplinary team and approach to issues surrounding the acquisition, maintenance and loss of expertise.
Learn more about CEPET's projects.
PLV conducts research in all aspects of modern programming languages and systems.
Our interests encompass:
Learn more about PLV's research.
Almost every organisation in our digital economy now relies on data in one way or another.
To secure data transmission and ensure private processing across the entire data lifecycle, the ISP Group at Macquarie University aims to build on expertise in:
Investigators: Dr Bates Gill, Head of the Department of Security Studies and Criminology, directs this program, with research projects led by Dr Allon Uhlmann.
Description: This program looks into the causes and motivations of international cyber-terrorists, international cybercrime, and strategies for cyber deception. It also includes research on Financial Fraud detection. The program leverages the investment and development by Macquarie University of a Cyber Intelligence Lab.
Investigators: Directed by Professor Dali Kaafar, this program includes two projects led by Dr Muhammad Ikram and Dr Hassan Asghar in the Department of Computing.
Description: Dr Asghar’s work is centred around building privacy-preserving systems for data sharing and enabling trustworthy machine learning with applications for Health Datasets combining expertise from three different faculties.
Investigator: Directed by Associate Professor Shlomo Berkovsky of the Australian Institute of Health Innovation.
Description: Associate Professor Berkovsky and Dr Piers Bayl-Smith are leading two research projects, focusing on issues around the behaviour of human users and their interaction with cybersecurity technologies, with a particular focus on models for incident investigation and security of health data and applications.
Investigators: Directed by Professor Niloufer Selvadurai, who is leading research along with Dr Doron Goldbarsht.
Description: This interdisciplinary program integrates legal, technical and business perspectives to address critical digital governance issues.
The team are looking at issues including:
Investigators: Professor Elizabeth Sheedy in the Department of Finance is directing three projects led by Professor Norma Harrison, Dr Stephanie Huang and Professor Pavel Shevchenko, and bringing together researchers from both the Macquarie Business School and Faculty of Science and Engineering.
Description: An acclaimed risk-management expert, Professor Sheedy tackles the huge challenges of managing cyber-risk for both organisations and consumers. Complex supply chains mean that cyber-risks in one firm can flow through to others, like a virus. This program is investigating risk management solutions including ways that consumers can make better and smarter purchasing decisions in the online marketplace and avoid cyber-fraud.
Investigators: Professor Dali Kaafar is directing research on Software Systems Security. A particular illustration of the research and development activities in the SCPSS program is the partnership with the Australian company Ditno with research on AI-driven network segmentation.
Description: The team, led by Dr Muhammad Ikram from the Department of Computing, is using data-driven analysis to develop machine-learning-based algorithms aiming at improving privacy and security across web and mobile systems, as well as detecting security non-compliances in enterprise networks.