Artifical Intelligence and Machine Learning Algorithms in Dark Web Crime Recognition

Artifical Intelligence and Machine Learning Algorithms in Dark Web Crime Recognition

Neha Nitin Gawali (NBN Sinhgad Technical Institute, Pune, India) and Shailesh Bendale (NBN Sinhgad Technical Institute, Pune, India)
DOI: 10.4018/978-1-6684-6444-1.ch007
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

Even with the dark web (DW) being accessible only through special software, global law enforcement agencies are considering it a major problem. The fact that activities happening on DW are completely untraceable has become the main point of attraction for the perpetrators. Also, in certain years, there has been improvement and advancement in the artificial intelligence (AI) as well as machine learning (ML) fields. Therefore, digital security based on AI is of immense benefit for the security industry. Thus, in response to the increasing use of AI and ML technologies, actions were taken against DW crimes, and applications for crime recognition were developed. This chapter is an attempt to discuss and showcase all the different aspects of applications of AI and ML in DW crime recognition. The author sheds light on the enormous benefits of these applications to the security industry as well as the investigators. Considering AI and ML work as double-edged swords in the cyber world, the author also mentions the importance for investigators to understand and practice them carefully.
Chapter Preview
Top

Difference Between Dark Web And Deep Web

The deep web and dark web, both being completely anonymous and intractable by search engines, are often mistaken to be the same. When in reality both the deep web and the DW are patently different. Most of the time Dark web is also confused as “Dark internet” whereas the Dark internet consists of raw data which is used for scientific research and is not similar to the Dark web. Below are some major differences between ”Dark Web” and “Deep Web”.(O’hare,2020)

Table 1.
Difference between deep web and dark web
Deep webDark web
The deep web is not the part of the dark web .The dark web is the part of the deep web.
The deep web includes news sites existing behind paywalls, content of personal email or social media accounts, and similar pages.Dark web includes websites with hidden IP addresses, small and big network that are completely anonymous operated by individuals or public organizations.
Regular search engines are not allowed(blocked) to index the content on deep web.Content on the dark web can be accessed through specific encrypted browsers or networks.
One can access the deep web through valid password and username.It is only accessible through special software or encrypted browsers.
It is 1000-2000X larger than the surface web.It is 500X times larger than the surface web.

Complete Chapter List

Search this Book:
Reset