Abdul Rahman

PhD Student

Abdul Rahman is a PhD researcher in Computer Science at the University of Greenwich, UK. His doctoral research, Quantifying Browser-Based Malvertising Detection, investigates how malicious online advertising can be identified and evaluated through systematic analysis of browser behaviors, network communications, JavaScript execution, web navigation and redirection patterns. His research aims to improve the reliability, reproducibility, and explainability of browser-based threat detection through integrated analysis of browser and network evidence. He brings extensive professional experience in cybersecurity, network engineering, IT infrastructure management, and higher education teaching. His background includes university network administration, data centre operations, network security implementation, and teaching undergraduate modules in networking and information security. Abdul holds an MSc in Cyber Security with Distinction from the University of Bradford, UK, where his dissertation focused on detecting and preventing malvertising in web browsers and received academic recognition. He has authored four research publications, reflecting his engagement with academic research and technical problem-solving. Here is the list of his publications.

His research interests and skills include:

• Browser security and malvertising detection
• Web-based malware analysis and threat investigation
• Network security and behavioural threat modelling
• Explainable and reproducible cybersecurity research
• Security analytics and intelligent threat detection