Influence of COVID-19 Epidemic on Dark Web Contents
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 a...
Guardado en:
Autores principales: | , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/faca66dca0d645cfaa43fc6e8153b8cf |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:faca66dca0d645cfaa43fc6e8153b8cf |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:faca66dca0d645cfaa43fc6e8153b8cf2021-11-25T17:24:20ZInfluence of COVID-19 Epidemic on Dark Web Contents10.3390/electronics102227442079-9292https://doaj.org/article/faca66dca0d645cfaa43fc6e8153b8cf2021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2744https://doaj.org/toc/2079-9292The 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.Abdul RazaqueBakhytzhan ValiyevBandar AlotaibiMunif AlotaibiSaule AmanzholovaAziz AlotaibiMDPI AGarticleDark NetDark WebCOVID-19data collectionElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2744, p 2744 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Dark Net Dark Web COVID-19 data collection Electronics TK7800-8360 |
spellingShingle |
Dark Net Dark Web COVID-19 data collection Electronics TK7800-8360 Abdul Razaque Bakhytzhan Valiyev Bandar Alotaibi Munif Alotaibi Saule Amanzholova Aziz Alotaibi Influence of COVID-19 Epidemic on Dark Web Contents |
description |
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. |
format |
article |
author |
Abdul Razaque Bakhytzhan Valiyev Bandar Alotaibi Munif Alotaibi Saule Amanzholova Aziz Alotaibi |
author_facet |
Abdul Razaque Bakhytzhan Valiyev Bandar Alotaibi Munif Alotaibi Saule Amanzholova Aziz Alotaibi |
author_sort |
Abdul Razaque |
title |
Influence of COVID-19 Epidemic on Dark Web Contents |
title_short |
Influence of COVID-19 Epidemic on Dark Web Contents |
title_full |
Influence of COVID-19 Epidemic on Dark Web Contents |
title_fullStr |
Influence of COVID-19 Epidemic on Dark Web Contents |
title_full_unstemmed |
Influence of COVID-19 Epidemic on Dark Web Contents |
title_sort |
influence of covid-19 epidemic on dark web contents |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/faca66dca0d645cfaa43fc6e8153b8cf |
work_keys_str_mv |
AT abdulrazaque influenceofcovid19epidemicondarkwebcontents AT bakhytzhanvaliyev influenceofcovid19epidemicondarkwebcontents AT bandaralotaibi influenceofcovid19epidemicondarkwebcontents AT munifalotaibi influenceofcovid19epidemicondarkwebcontents AT sauleamanzholova influenceofcovid19epidemicondarkwebcontents AT azizalotaibi influenceofcovid19epidemicondarkwebcontents |
_version_ |
1718412446482300928 |