Securing Australia’s Cybersecurity Landscape

This research stream predicts and detects security breaches and responds to and recovers from incidents via security capabilities informed by threat intelligence.

The stream aims to develop edge computing that enables lightweight Internet of Things (IoT) devices to connect to the network in a way that is simple, secure and cost-effective.

It will build on the relationship that Federation University’s Internet Commerce Security Laboratory has established with Westpac, Defence Science Institute, CSIRO and Oceania Cyber Security Centre to develop balanced and protective methods required to enable safe, secured and uninterrupted operations of Australian businesses while keeping within established risk tolerances.

Research stream leader

Associate Professor Paul Pang

p.pang@federation.edu.au

Research team

Name	Expertise
Dr Leigh Achterbosch	Online behaviour analysis, cybersecurity
Professor Adil Baghirov	Optimisation methods in machine learning, cybersecurity
Dr Venki Balasubramanian	IoT and smart devices security
Dr Paul Black	Cybersecurity, machine learning
Dr Tanveer Choudhury	Machine learning, cybersecurity
Dr Sally Firmin	Machine learning
Dr Cameron Foale	Reinforcement learning, cybersecurity
Dr Muhammad Imran	Mobile and wireless networks, Internet of Things, big data analytics, cyber security cloud/edge computing
Professor Joarder Kamruzzaman	Intrusion detection, Internet of Things (IoT) security, false data detection, smart grid security
Associate Professor Gour Karmakar	Machine learning, cybersecurity, smart grid security
Dr Liangfu Lyu	Machine learning, malware analysis, big data privacy and cybersecurity, security visualization
Dr Evita March	Internet trolling, cyber stalking, antisocial behaviour online
Dr Giles Oatley	Tracklog data analysis, cognitive appraisal, cybersecurity
Dr Taiwo Oseni	Threat intelligence modelling
Associate Professor Paul Pang	Applied cybersecurity, blockchain, threat intelligence modelling
Dr Rakib Shah (Associate)	Smart grid security
Associate Professor Andrew Stranieri	Machine learning, cybersecurity, smart devices security
Associate Professor Peter Vamplew	Multiobjective reinforcement learning, explainable AI, cybersecurity

Contact CSA

For queries about CSA’s research, or to discuss collaborating or researching with us, get in touch with the Centre Directors via the Contact page.