Leveraging AI and Machine Learning for Digital Forensics
Ramy Metwally El-Kady · Advances in computational intelligence and robotics book series · 2024
This article explores the digital forensics of cryptocurrencies and the dark web, focusing on the role of blockchain in their formation and evidence gathering. It emphasizes the need for artificial intelligence and machine language in dark web forensics and the critical gap in research on host-based cryptocurrency forensics, especially mobile-based forensics. Most studies on host-based forensics focus on outdated operating systems or platforms, emphasizing the need for more up-to-date versions. Cryptocurrency forensics primarily analyzes publicly accessible blockchains using clustering heuristics and machine learning-based analysis to identify anonymous entities or provide investigation guidance. Security and vulnerability assessment studies are crucial for examining forensic methods for cryptocurrencies, providing insights into potential exploits or attacks useful for forensic investigations. While research in Blockchain-based forensics is advancing organically alongside technological advancements, there is a need for focused attention on host-based forensics for cryptocurrency.