This talk will discuss the possible use of new Reinforcement Learning (RL) approaches to automate and optimise some of the processes in DFIR.
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Synopsis
Current human-led Digital Investigation is reaching its limit, notably with the explosive increase in cybercrime. DFIR practitioners at law enforcement and corporate levels are facing severe challenges in coping with the demand. This talk will discuss the possible use of new Reinforcement Learning (RL) approaches to automate and optimise some of the processes in DFIR practice and thus off-load experts and increase efficiency.
About the speaker
Dr Mohamed Chahine Ghanem, London Metropolitan University
Dr Mohamed Chahine Ghanem is principal lecturer and deputy-director of the Cyber Security Research Centre and course leader for Digital Forensics and Cyber Security BSc (Hons). Mohamed Chahine holds MSc in Digital Forensics and a PhD in Cyber Security from City, University of London. He is a Fellow of HEA and holds a PGDip in Security Studies; he achieved many certificates, such as GCFE, CISSP, ACE, XRY and CPCI.
Mohamed Chahine has over 12 years of experience in the field of digital forensics and incident investigation at the law enforcement and corporate level. His research focuses on applying AI to Offensive Cyber Security, and he has published numerous research papers in the world’s top cybersecurity journals.
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This event is brought to you by: BCS Cybercrime Forensics specialist group, BCS e-Learning specialist group, BCS Hampshire branch and BCS Dorset branch
