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Perceptual Operating Systems for the Trade Associations of Cyber Criminals to Scrutinize Hazardous Content
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Author(s): Romil Rawat (Department of Computer Science Engineering, Shri Vaishnav Institute of Information Technology, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India)and Anand Rajavat (Department of Computer Science Engineering, Shri Vaishnav Institute of Information Technology, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India)
Copyright: 2024
Volume: 14
Issue: 1
Pages: 19
Source title:
International Journal of Cyber Warfare and Terrorism (IJCWT)
Editor(s)-in-Chief: Brett van Niekerk (University of KwaZulu-Natal, South Africa)
DOI: 10.4018/IJCWT.343314
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Abstract
The limits of user visibility have been exceeded by the internet. The “Dark Web” or “Dark Net” refers to certain unknown portions of the internet that cannot be found using standard search methods. A number of computerised techniques are being explored to extract or crawl the concealed data. All users can freely interact on the surface web. Identity identities may be found on the deep web, and the dark web (DW), a hub for anonymous data, is a haven for terrorists and cybercriminals to promote their ideologies and illegal activities. Officials in clandestine surveillance and cyberpolicing are always trying to track down offenders' trails or hints. The search for DW offenders might take five to ten years.The proposed study provides data from a DW mining and online marketplaces situation from a few domains, as well as an overview for investigators to build an automated engine for scraping all dangerous information from related sites.
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