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
Name | Expertise |
|---|---|
Online behaviour analysis, cybersecurity | |
Optimisation methods in machine learning, cybersecurity | |
IoT and smart devices security | |
Cybersecurity, machine learning | |
Machine learning, cybersecurity | |
Machine learning | |
Reinforcement learning, cybersecurity | |
Mobile and wireless networks, Internet of Things, big data analytics, cyber security cloud/edge computing | |
Intrusion detection, Internet of Things (IoT) security, false data detection, smart grid security | |
Machine learning, cybersecurity, smart grid security | |
Dr Liangfu Lyu | Machine learning, malware analysis, big data privacy and cybersecurity, security visualization |
Internet trolling, cyber stalking, antisocial behaviour online | |
Tracklog data analysis, cognitive appraisal, cybersecurity | |
Threat intelligence modelling | |
Applied cybersecurity, blockchain, threat intelligence modelling | |
Smart grid security | |
Machine learning, cybersecurity, smart devices security | |
Multiobjective reinforcement learning, explainable AI, cybersecurity |
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.