Visible to the public Dark web forum correlation analysis research

TitleDark web forum correlation analysis research
Publication TypeConference Paper
Year of Publication2019
AuthorsYang, Ying, Yang, Lina, Yang, Meihong, Yu, Huanhuan, Zhu, Guichun, Chen, Zhenya, Chen, Lijuan
Conference Name2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
Date PublishedMay 2019
PublisherIEEE
ISBN Number978-1-5386-8178-7
KeywordsBrowsers, Computer crime, Correlation analysis, dark web, Dark web forum, dark web forum correlation analysis research, dark web market, Histograms, Human Behavior, human factors, Information analysis, Internet, law enforcement, law enforcement officers, mainstream dark network communication system, network survey techniques, police data processing, pubcrawl, Routing, Servers, threat information, Tor, TOR system, visual dark web forum post association analysis system, visualization
Abstract

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.

URLhttps://ieeexplore.ieee.org/document/8785760
DOI10.1109/ITAIC.2019.8785760
Citation Keyyang_dark_2019