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2020-07-10
Yang, Ying, Yang, Lina, Yang, Meihong, Yu, Huanhuan, Zhu, Guichun, Chen, Zhenya, Chen, Lijuan.  2019.  Dark web forum correlation analysis research. 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). :1216—1220.

With the rapid development of the Internet, the dark network has also been widely used in the Internet [1]. Due to the anonymity of the dark network, many illegal elements have committed illegal crimes on the dark. It is difficult for law enforcement officials to track the identity of these cyber criminals using traditional network survey techniques based on IP addresses [2]. The threat information is mainly from the dark web forum and the dark web market. In this paper, we introduce the current mainstream dark network communication system TOR and develop a visual dark web forum post association analysis system to graphically display the relationship between various forum messages and posters, and help law enforcement officers to explore deep levels. Clues to analyze crimes in the dark network.