Back to Search
Start Over
Influence of COVID-19 Epidemic on Dark Web Contents
- Source :
- Electronics, Volume 10, Issue 22, Electronics, Vol 10, Iss 2744, p 2744 (2021)
- Publication Year :
- 2021
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2021.
-
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.
- Subjects :
- Data collection
data collection
TK7800-8360
Coronavirus disease 2019 (COVID-19)
Computer Networks and Communications
Computer science
Dark Net
COVID-19
Dark Web
Variety (cybernetics)
World Wide Web
Deep Web
Product (business)
Hardware and Architecture
Control and Systems Engineering
Order (exchange)
electrical_electronic_engineering
Signal Processing
Confidentiality
Electronics
Electrical and Electronic Engineering
Web crawler
Subjects
Details
- Language :
- English
- ISSN :
- 20799292
- Database :
- OpenAIRE
- Journal :
- Electronics
- Accession number :
- edsair.doi.dedup.....3a840f8ad10cf6725a9f348c6844618b
- Full Text :
- https://doi.org/10.3390/electronics10222744