Influence of COVID-19 epidemic on dark web contents
Razaque A. Valiyev B. Alotaibi B. Alotaibi M. Amanzholova S. Alotaibi A.
November-2 2021MDPI
Electronics (Switzerland)
2021#10Issue 22
The Dark Web is known as a place triggering a variety of criminal activities. Anonymization techniques enable illegal operations, leading to the loss of confidential information and its further use as bait, a trade product or even a crime tool. Despite technical progress, there is still not enough awareness of the Dark Web and its secret activity. In this study, we introduced the Dark Web Enhanced Analysis (DWEA) in order to analyze and gather information about the content accessed on the Dark Net based on data characteristics. The research was performed to identify how the Dark Web has been influenced by recent global events, such as the COVID-19 epidemic. The research included the usage of a crawler, which scans the network and collects data for further analysis with machine learning. The result of this work determines the influence of the COVID-19 epidemic on the Dark Net.
COVID-19 , Dark Net , Dark Web , Data collection
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Department of Cybersecurity, IITU, Almaty, 050000, Kazakhstan
Sensor Networks and Cellular Systems Research Center, University of Tabuk, Tabuk, 71491, Saudi Arabia
Department of Information Technology, University of Tabuk, Tabuk, 71491, Saudi Arabia
Department of Computer Science, Sharqa University, Sharqa, 11961, Saudi Arabia
Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, 21944, Saudi Arabia
Department of Cybersecurity
Sensor Networks and Cellular Systems Research Center
Department of Information Technology
Department of Computer Science
Department of Computer Science
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