5 papers
Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions
Eduardo Almeida Palmieri, Mohamed Chahine Ghanem, Dipo Dunsin +3
The rapid growth of publicly available digital information has rendered manual open-source intelligence (OSINT) analysis insufficient for modern intelligence, cybersecurity, and cy…
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
This paper addresses the critical need for high-quality malware datasets that support advanced analysis techniques, particularly machine learning and agentic AI frameworks. Existin…
A Novel Reinforcement Learning Model for Post-Incident Malware Investigations
Dipo Dunsin, Mohamed Chahine Ghanem, Karim Ouazzane +1
This Research proposes a Novel Reinforcement Learning (RL) model to optimise malware forensics investigation during cyber incident response. It aims to improve forensic investigati…
Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning
Animesh Singh Basnet, Mohamed Chahine Ghanem, Dipo Dunsin +1
The development of the DRL model for malware attribution involved extensive research, iterative coding, and numerous adjustments based on the insights gathered from predecessor mod…
Reinforcement Learning for an Efficient and Effective Malware Investigation during Cyber Incident Response
Dipo Dunsin, Mohamed Chahine Ghanem, Karim Ouazzane +1
This research focused on enhancing post-incident malware forensic investigation using reinforcement learning RL. We proposed an advanced MDP post incident malware forensics investi…