Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Influence of COVID-19 Epidemic on Dark Web Contents

Version 1 : Received: 9 October 2021 / Approved: 11 October 2021 / Online: 11 October 2021 (14:19:46 CEST)

A peer-reviewed article of this Preprint also exists.

Razaque, A.; Valiyev, B.; Alotaibi, B.; Alotaibi, M.; Amanzholova, S.; Alotaibi, A. Influence of COVID-19 Epidemic on Dark Web Contents. Electronics 2021, 10, 2744. Razaque, A.; Valiyev, B.; Alotaibi, B.; Alotaibi, M.; Amanzholova, S.; Alotaibi, A. Influence of COVID-19 Epidemic on Dark Web Contents. Electronics 2021, 10, 2744.

Journal reference: Electronics 2021, 10, 2744
DOI: 10.3390/electronics10222744

Abstract

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.

Keywords

Dark Net; Dark Web; COVID-19; data collection

Subject

ENGINEERING, Electrical & Electronic Engineering

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