4 papers
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…
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…
A Hierarchical Security Events Correlation Model for Real-time Cyber Threat Detection and Response
Herbert Maosa, Karim Ouazzane, Mohamed Chahine Ghanem
Intrusion detection systems perform post-compromise detection of security breaches whenever preventive measures such as firewalls do not avert an attack. However, these systems rai…
D2WFP: A Novel Protocol for Forensically Identifying, Extracting, and Analysing Deep and Dark Web Browsing Activities
Mohamed Chahine Ghanem, Patrick Mulvihill, Karim Ouazzane +2
The use of the un-indexed web, commonly known as the deep web and dark web, to commit or facilitate criminal activity has drastically increased over the past decade. The dark web i…