Intelligent Security

Intelligent Security

The Intelligent Security theme focuses on the development of cybersecurity applications using artificial intelligence methods. We explore machine learning, deep learning, and emerging AI paradigms.  Existing AI techniques have proven capability across a plethora of problems and scales. The increase in everything-connected, online systems that both sense from and interact with the physical world poses a security risk and provides an abundance of data. The extent to which countries such as Australia are already dependent on Cyber-Physical Systems (CPS) and Internet of Things (IoT) and Industrial IoT (IIoT), is projected to increase, the impact of any disruption is potentially catastrophic. Our research in this theme covers:

  • Development of cyber threat intelligence and detection models including intrusion detection-, privacy-preserving-, and digital forensics, using statistics, machine and deep learning algorithms, and multi-agent systems
  • Development of automated risk assessment, and penetration testing methods using AI planning and deep learning algorithms
  • Design of new testbed architectures and datasets for Industry 4.0 networks including IoT, IIoT, cloud, fog systems and Social networks.

Contact: Dr Tim Lynar, Dr Nour Moustafa & Dr Benjamin Turnbull

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