Dark Web

Author:

Bedi Punam1ORCID,Gupta Neha1,Jindal Vinita2ORCID

Affiliation:

1. University of Delhi, India

2. Keshav Mahavidyalaya, University of Delhi, India

Abstract

The World Wide Web is a part of the Internet that provides data dissemination facility to people. The contents of the Web are crawled and indexed by search engines so that they can be retrieved, ranked, and displayed as a result of users' search queries. These contents that can be easily retrieved using Web browsers and search engines comprise the Surface Web. All information that cannot be crawled by search engines' crawlers falls under Deep Web. Deep Web content never appears in the results displayed by search engines. Though this part of the Web remains hidden, it can be reached using targeted search over normal Web browsers. Unlike Deep Web, there exists a portion of the World Wide Web that cannot be accessed without special software. This is known as the Dark Web. This chapter describes how the Dark Web differs from the Deep Web and elaborates on the commonly used software to enter the Dark Web. It highlights the illegitimate and legitimate sides of the Dark Web and specifies the role played by cryptocurrencies in the expansion of Dark Web's user base.

Publisher

IGI Global

Reference19 articles.

1. Balduzzi, M., & Ciancaglini, V. (2015). Cybercrime in the Deep Web Black Hat EU. Amsterdam: Trend Micro.

2. Bhaskar, V., Linacre, R., & Machin, S. (2017, November 6). Dark web: The economics of online drugs markets. Retrieved from LSE Business Review: http://blogs.lse.ac.uk/businessreview/2017/11/06/dark-web-the-economics-of-online-drugs-markets/

3. Why criminals can't hide behind Bitcoin

4. Ciancaglini, V., Balduzzi, M., McArdle, R., & Rösler, M. (2015). Below the Surface: Exploring the deep Web. Trend Micro. Retrieved November 28, 2018, from https://documents.trendmicro.com/assets/wp/wp_below_the_surface.pdf

5. Cooper, E., & Chikada, A. (2015). The Deep Web, the Darknet, and Bitcoin. MarkMonitor - Part of Thomson Reuters. Retrieved November 28, 2018, from https://www.markmonitor.com/download/webinar/2015/MarkMonitor-Webinar-150715-DeepWebDarknetBitcoin.pdf

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Unveiling the dark: Analyzing and Categorizing dark web activities using Bi-Directional LSTMs;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02

2. The Dark Web and the future of illicit drug markets;Journal of Transportation Security;2022-09-05

3. Encrypted Traffic Classification Using eXtreme Gradient Boosting Algorithm;Advances in Intelligent Systems and Computing;2021-08-29

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