Influence of COVID-19 Epidemic on Dark Web Contents

被引:3
|
作者
Razaque, Abdul [1 ]
Valiyev, Bakhytzhan [1 ]
Alotaibi, Bandar [2 ,3 ]
Alotaibi, Munif [4 ]
Amanzholova, Saule [1 ]
Alotaibi, Aziz [5 ]
机构
[1] IITU, Dept Cybersecur, Alma Ata 050000, Kazakhstan
[2] Univ Tabuk, Sensor Networks & Cellular Syst Res Ctr, Tabuk 71491, Saudi Arabia
[3] Univ Tabuk, Dept Informat Technol, Tabuk 71491, Saudi Arabia
[4] Sharqa Univ, Dept Comp Sci, Sharqa 11961, Saudi Arabia
[5] Taif Univ, Dept Comp Sci, Coll Comp & Informat Technol, At Taif 21944, Saudi Arabia
关键词
Dark Net; Dark Web; COVID-19; data collection;
D O I
10.3390/electronics10222744
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:17
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