Tool Mark Identification of Skype Traffic

Abstract

Law enforcement agencies (LEAs) face a challenging problem to detect the tool marks of Skype traffic. Analyzing digital packets is an essential job in digital forensics. This study collects these packets, traces their routings, analyzes the relevant information, and explores the tool mark identification of Skype packets. It uses experimental data on a personal computer, investigates the characteristics of Skype traffic, and provides a tool mark analysis of network traffic. The study can assist the investigator in identifying the suspect using a Skype communication application to commit the crime.