Digital Forensic and Incident Response: Applications of Artificial Intelligence and Machine Learning.

Artificial Intelligence (AI) and Machine Learning (ML) offer promising solutions to enhance the efficiency and effectiveness of forensic investigations and incident response efforts. This paper explores the integration of artificial intelligence (AI) and machine learning (ML) techniques in digital forensic investigation and incident response processes. It provides an overview of the evolving landscape of cyber threats and the challenges they pose to traditional forensic methodologies. Through a comprehensive review of literature and case studies, the paper elucidates how AI and ML algorithms enhance the efficiency and effectiveness of forensic analysis, enabling quicker detection, classification, and attribution of cyber incidents. Additionally, it discusses the challenges, emerging trends, and future directions in leveraging AI and ML for digital forensic and incident response tasks. Keywords: Artificial Intelligence, Machine Learning, Digital Forensics, Incident Response, Risks Cyber Threats. Proceedings Citation Format Adewale Alayegun (2024): Digital Forensic and Incident Response: Applications of Artificial Intelligence and Machine Learning.. Proceedings of the Cyber Secure Nigeria Conference held at The Ballroom Center, Central Business District, Federal Capital Territory, Abuja, Nigeria - 25th - 26th September, 2024. Pp 63-70. cybersecurenigeria.org dx.doi.org