In this modern technological era, the quantity of digital data to be examined for each forensic case is increasing regularly as storage capacity expands.Although many forensic analysts come into the job is not solving the backlog issue, the solution to this data volume challenge is an eective digital forensic triage tool that uses an ecient way of collecting the data and classify them. Apparently, only a handful of researches has yet been published for the forensic triage tools capable of performing classications of data. This work explores the development of a forensic triage tool for live systems that can extract the data artifacts from the acquired RAW le and analyze them using machine learning techniques. After analyzing the results it is viewed in the tool by a graphical form which helps the investigator to decide on which data he must focus on.
FORENSIC TRIAGE DIGITAL FORENSIC TRIAGE MACHINE LEARNING