A Comprehensive Review on Artificial Intelligence in Digital Forensics With Taxonomies, Issues, and Solutions

Abstract

Digital forensics (DT) is a branch of forensic science focusing on identifying, analyzing, and reporting data stored electronically. AI is the simulation of human intelligence processes by machines. With digital data's growing volume and complexity, integrating it into digital forensics (DF) technology has become essential. The field of DT demands particular methods, with the preservation of chain of custody and data protection presenting significant challenges. As evidence sources collecting and analyzing data becomes more complex, requiring specialized skills, and the utilization of digital forensics becomes increasingly indispensable. Digital forensics plays a crucial role in today's cyber-driven world, enabling investigators to unravel complex cybercrimes and gather evidence. This chapter synthesizes current research, methodology, and applications, providing a comprehensive overview of AI in digital forensics and highlighting its role in addressing these challenges, discussing novel solutions such as intelligent evidence triage and AI-driven decision support systems.