A Comparative Evaluation of Machine Learning and Ensemble Models for Predicting Digital Forensic Investigation Outcomes Using Network Intrusion Data
INTRODUCTIONBackground to the StudyThe field of modern Forensic Science investigations has been substantially transformed by the rapid increase in cybercrime and the increasing volume of digital evidence. The demand for analytical techniques that can handle large, complex, and high-dimensional data that originates from digital settings is on the rise. Forensic analysis underwent a significant transformation […]
