Digital Evidence Analytics Applied in Cybercrime Investigations

With the increase in the number of computer crimes, law enforcement agencies in the field of digital forensics are expected to investigate more cases than before. Due to the complexity of digital forensic tasks, various investigation models have been developed to provide different points of view in abstract processes, specific activities, or practical tools. However, the integration of these points of view is rarely discussed. Hence, this study proposes a four-phase open-source fusion framework to address these issues. Furthermore, this work also evaluates the state-of-the-art open-source forensic tools and suggests the appropriate ones that are efficient in the investigation in each corresponding phase. The toolkits are considered in the context of digital evidence analytics, and help LEAs reconstruct the cybercrime scenario.