Characterising Socially Engineered Phishing Attacks in Australian and New Zealand Organisations

Project description

This project forms part of a larger research program that aims to develop AI-assisted methods for detecting socially engineered phishing attacks using Australian and New Zealand contextual and behavioural characteristics. The project aims to investigate and characterise the unique features of socially engineered phishing attacks targeting Australian and New Zealand organisations, and to develop a taxonomy of contextual and behavioural characteristics to support future AI-based detection approaches.

Further information

Socially engineered phishing attacks remain one of the most significant cybersecurity threats to organisations worldwide, particularly within critical infrastructure sectors. While numerous studies have investigated phishing attacks and developed artificial intelligence (AI)-based detection methods, most existing research relies on international datasets that may not accurately represent the contextual, linguistic, and behavioural characteristics of phishing attacks targeting Australian and New Zealand (ANZ) organisations. This project forms part of a larger research program that aims to develop AI-assisted methods for detecting socially engineered phishing attacks using Australian and New Zealand contextual and behavioural characteristics.

Assumed knowledge

Networking and Cybersecurity, AI /ML and basic research skills.

Note: You need to register interest in projects from different supervisors (not a number of projects with the one supervisor).
You must also contact each supervisor directly to discuss both the project details and your suitability to undertake the project.