D2WFP: A Novel Protocol for Forensically Identifying, Extracting, and Analysing Deep and Dark Web Browsing Activities. - Mohamed Chahine Ghanem; Patrick Mulvihill; Karim Ouazzane; Ramzi Djemai; Dipo Dunsin (J. Cybersecur. Priv., 2023)

A Novel Reinforcement Learning Model for Post-Incident Malware Investigations. - Dipo Dunsin; Mohamed Chahine Ghanem; Karim Ouazzane; Vassil T. Vassilev (SNAMS, 2024)

Reinforcement Learning for an Efficient and Effective Malware Investigation during Cyber Incident Response. - Dipo Dunsin; Mohamed Chahine Ghanem; Karim Ouazzane; Vassil T. Vassilev (CoRR, 2024)

Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning. - Animesh Singh Basnet; Mohamed Chahine Ghanem; Dipo Dunsin; Wiktor Sowinski-Mydlarz (CoRR, 2024)

A comprehensive analysis of the role of artificial intelligence and machine learning in modern digital forensics and incident response. - Dipo Dunsin; Mohamed Chahine Ghanem; Karim Ouazzane; Vassil T. Vassilev (Forensic Sci. Int. Digit. Investig., 2024)

MalVol-25: A Diverse, Labelled and Detailed Volatile Memory Dataset for Malware Detection and Response Testing and Validation. - Dipo Dunsin; Mohamed Chahine Ghanem; Eduardo Almeida Palmieri (CoRR, 2025)