Tool Mark Identification of Skype Traffic

被引：0
|
作者：
Kao, Da-Yu [1 ]
Lu, Fang-Yu [1 ]
Tsai, Fu-Ching [2 ]
机构：
[1] Cent Police Univ, Dept Informat Management, Taoyuan, Peoples R China
[2] Cent Police Univ, Dept Criminal Invest, Taoyuan, Peoples R China
来源：
2020 22ND INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT): DIGITAL SECURITY GLOBAL AGENDA FOR SAFE SOCIETY! | 2020年
关键词：
Skype; Wireshark; VoIP; packet analysis; machine learning; big data; cybercrime investigation; network forensics;
D O I：
10.23919/icact48636.2020.9061405
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：361 / 366
页数：6
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