Cybersecurity

I was invited by ISACA Ireland Chapter to deliver a talk. My talk was on how large language models can be leveraged to detect psychological vulnerabilities in phishing emails.

This research project explores the use of generative artificial intelligence, large language models (LLMs) to enhance human-centred cybersecurity defences against sophisticated attacks such as phishing attacks. The goal is to augment human expertise and enable security teams to stay ahead of evolving attack techniques at machine speed and scale.

This paper proposed a three-stage feature selection method that effectively reduces the dimensionality of the data and considers the varying importance of the different feature groups in the classification of ransomware families.

This PhD research project focuses on developing an adaptive intrusion detection system that leverages advanced machine learning algorithms to detect and mitigate emerging ransomware threats. By designing novel ML techniques capable of analysing large-scale datasets of ransomware samples and benign files, the project aims to create a highly accurate and responsive defence against rapidly evolving ransomware attacks.

It was the objective of this research to detect malware based on system properties using machine learning algorithms.

This talk explored the utilization of blockchain technologies in achieving financial inclusion in Nigeria.