Enhancing cybersecurity with AI and Large Language Models 

Project overview

Project title

Predicting organisational cybersecurity risks with AI-driven threat intelligence and large language models 

Project description

This project will explore the integration of artificial intelligence (AI) and large language models (LLMs) to predict organisational cybersecurity risks and mitigate threats in advance. The expected outcomes are an enhanced cybersecurity framework, better threat intelligence techniques and user-centric designs, and an adaptable solution. This may help businesses to identify cyber risks and prevent cyber incidents prior to happening and avoid financial losses and brand damage.   

Supervisory team

University

Name of university supervisor	Professor Ibrahim Khalil
Name of university	Royal Melbourne Institute of Technology
Email address	ibrahim.khalil@rmit.edu.au
Faculty	STEM College

CSIRO

Name of CSIRO supervisor	Dr Sharif Abuadbba Dr Chamikara Mahawaga Arachchige
Email address	sharif.abuadbba@data61.csiro.au  chamikara.mahawagaarachchige@data61.csiro.au
CSIRO Research Unit	Data 61

Industry

Name of industry supervisor	Dr Farukh Rahman
Name of business/organisation	ANRF Research and Consultancy Pty Ltd (Website)
Email address	director@anrf.com.au

Further details

Primary location of student	Royal Melbourne Institute of Technology, 124 La Trobe Street, Melbourne VIC
Industry engagement component location	ANRF Research & Consultancy Pty Ltd, 24 Oysterbay Chase, Point Cook, VIC
Other locations	CSIRO Clayton, Research Way, Clayton VIC
Ideal student skillset	Technical Skills: – Programming: Proficiency in languages such as Python, Java, C++, and scripting languages. – Network Security: Understanding of network protocols, firewall configurations, intrusion detection systems, and network architecture. Research Skills: – Literature Review: Ability to analyze and synthesize existing research to identify gaps and formulate research questions. – Methodology: Designing and implementing robust research methodologies, including quantitative, qualitative, and mixed methods. – Innovation: Noble thinking and ability to innovate a new prototype to solve industry gaps in cyber security. Analytical Skills: – Problem-Solving: Strong ability to identify, analyze, and solve complex cybersecurity problems. – Critical Thinking: Evaluating information and arguments to make reasoned judgments and decisions. Soft Skills: – Communication: Effective written and verbal communication skills for presenting research findings and collaborating with peers. – Collaboration: Ability to work in interdisciplinary teams and with industry partners. – Time Management: Managing time effectively to balance research, coursework, and other responsibilities.
Application close date	Open until position filled
Apply	RMIT Hint: type “ANRF” in the search bar to locate the project