Deep web

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The deep web, [1] invisible web, [2] or hidden web [3] are parts of the World Wide Web whose contents are not indexed by standard web search-engine programs. [4] This is in contrast to the "surface web", which is accessible to anyone using the Internet. [5] Computer scientist Michael K. Bergman is credited with inventing the term in 2001 as a search-indexing term. [6]

Contents

Deep web sites can be accessed by a direct URL or IP address, but may require entering a password or other security information to access actual content. [7] [8] Uses of deep web sites include web mail, online banking, cloud storage, restricted-access social-media pages and profiles, and web forums that require registration for viewing content. It also includes paywalled services such as video on demand and some online magazines and newspapers.

Terminology

The first conflation of the terms "deep web" and "dark web" happened during 2009 when deep web search terminology was discussed together with illegal activities occurring on the Freenet and darknet. [9] Those criminal activities include the commerce of personal passwords, false identity documents, drugs, firearms, and child pornography. [10]

Since then, after their use in the media's reporting on the black-market website Silk Road, media outlets have generally used 'deep web' synonymously with the dark web or darknet, a comparison some reject as inaccurate [11] and consequently has become an ongoing source of confusion. [12] Wired reporters Kim Zetter [13] and Andy Greenberg [14] recommend the terms be used in distinct fashions. While the deep web is a reference to any site that cannot be accessed by a traditional search engine, the dark web is a portion of the deep web that has been hidden intentionally and is inaccessible by standard browsers and methods. [15] [16] [17] [18] [19] [ excessive citations ]

Non-indexed content

Bergman, in a paper on the deep web published in The Journal of Electronic Publishing, mentioned that Jill Ellsworth used the term Invisible Web in 1994 to refer to websites that were not registered with any search engine. [20] Bergman cited a January 1996 article by Frank Garcia: [21]

It would be a site that's possibly reasonably designed, but they didn't bother to register it with any of the search engines. So, no one can find them! You're hidden. I call that the invisible Web.

Another early use of the term Invisible Web was by Bruce Mount and Matthew B. Koll of Personal Library Software, in a description of the No. 1 Deep Web program found in a December 1996 press release. [22]

The first use of the specific term deep web, now generally accepted, occurred in the aforementioned 2001 Bergman study. [20]

Indexing methods

Methods that prevent web pages from being indexed by traditional search engines may be categorized as one or more of the following:

  1. Contextual web: pages with content varying for different access contexts (e.g., ranges of client IP addresses or previous navigation sequence).
  2. Dynamic content: dynamic pages, which are returned in response to a submitted query or accessed only through a form, especially if open-domain input elements (such as text fields) are used; such fields are hard to navigate without domain knowledge.
  3. Limited access content: sites that limit access to their pages in a technical manner (e.g., using the Robots Exclusion Standard or CAPTCHAs, or no-store directive, which prohibit search engines from browsing them and creating cached copies). [23] Sites may feature an internal search engine for exploring such pages. [24] [25]
  4. Non-HTML/text content: textual content encoded in multimedia (image or video) files or specific file formats not recognised by search engines.
  5. Private web: sites that require registration and login (password-protected resources).
  6. Scripted content: pages that are accessible only by links produced by JavaScript as well as content dynamically downloaded from Web servers via Flash or Ajax solutions.
  7. Software: certain content is hidden intentionally from the regular Internet, accessible only with special software, such as Tor, I2P, or other darknet software. For example, Tor allows users to access websites using the .onion server address anonymously, hiding their IP address.
  8. Unlinked content: pages which are not linked to by other pages, which may prevent web crawling programs from accessing the content. This content is referred to as pages without backlinks (also known as inlinks). Also, search engines do not always detect all backlinks from searched web pages.
  9. Web archives: Web archival services such as the Wayback Machine enable users to see archived versions of web pages across time, including websites that have become inaccessible and are not indexed by search engines such as Google. [6] The Wayback Machine may be termed a program for viewing the deep web, as web archives that are not from the present cannot be indexed, as past versions of websites are impossible to view by a search. All websites are updated at some time, which is why web archives are considered Deep Web content. [26]

Content types

While it is not always possible to discover directly a specific web server's content so that it may be indexed, a site potentially can be accessed indirectly (due to computer vulnerabilities).

To discover content on the web, search engines use web crawlers that follow hyperlinks through known protocol virtual port numbers. This technique is ideal for discovering content on the surface web but is often ineffective at finding deep web content. For example, these crawlers do not attempt to find dynamic pages that are the result of database queries due to the indeterminate number of queries that are possible. [6] It has been noted that this can be overcome (partially) by providing links to query results, but this could unintentionally inflate the popularity of a site of the deep web.

DeepPeep, Intute, Deep Web Technologies, Scirus, and Ahmia.fi are a few search engines that have accessed the deep web. Intute ran out of funding and is now a temporary static archive as of July 2011. [27] Scirus retired near the end of January 2013. [28]

Researchers have been exploring how the deep web can be crawled in an automatic fashion, including content that can be accessed only by special software such as Tor. In 2001, Sriram Raghavan and Hector Garcia-Molina (Stanford Computer Science Department, Stanford University) [29] [30] presented an architectural model for a hidden-Web crawler that used important terms provided by users or collected from the query interfaces to query a Web form and crawl the Deep Web content. Alexandros Ntoulas, Petros Zerfos, and Junghoo Cho of UCLA created a hidden-Web crawler that automatically generated meaningful queries to issue against search forms. [31] Several form query languages (e.g., DEQUEL [32] ) have been proposed that, besides issuing a query, also allow extraction of structured data from result pages. Another effort is DeepPeep, a project of the University of Utah sponsored by the National Science Foundation, which gathered hidden-web sources (web forms) in different domains based on novel focused crawler techniques. [33] [34]

Commercial search engines have begun exploring alternative methods to crawl the deep web. The Sitemap Protocol (first developed, and introduced by Google in 2005) and OAI-PMH are mechanisms that allow search engines and other interested parties to discover deep web resources on particular web servers. Both mechanisms allow web servers to advertise the URLs that are accessible on them, thereby allowing automatic discovery of resources that are not linked directly to the surface web. Google's deep web surfacing system computes submissions for each HTML form and adds the resulting HTML pages into the Google search engine index. The surfaced results account for a thousand queries per second to deep web content. [35] In this system, the pre-computation of submissions is done using three algorithms:

  1. selecting input values for text search inputs that accept keywords,
  2. identifying inputs that accept only values of a specific type (e.g., date) and
  3. selecting a small number of input combinations that generate URLs suitable for inclusion into the Web search index.

In 2008, to facilitate users of Tor hidden services in their access and search of a hidden .onion suffix, Aaron Swartz designed Tor2web—a proxy application able to provide access by means of common web browsers. [36] Using this application, deep web links appear as a random sequence of letters followed by the .onion top-level domain.

See also

Related Research Articles

<span class="mw-page-title-main">Web crawler</span> Software which systematically browses the World Wide Web

A Web crawler, sometimes called a spider or spiderbot and often shortened to crawler, is an Internet bot that systematically browses the World Wide Web and that is typically operated by search engines for the purpose of Web indexing.

Spamdexing is the deliberate manipulation of search engine indexes. It involves a number of methods, such as link building and repeating related and/or unrelated phrases, to manipulate the relevance or prominence of resources indexed in a manner inconsistent with the purpose of the indexing system.

robots.txt Internet protocol

robots.txt is the filename used for implementing the Robots Exclusion Protocol, a standard used by websites to indicate to visiting web crawlers and other web robots which portions of the website they are allowed to visit.

Search engine optimization (SEO) is the process of improving the quality and quantity of website traffic to a website or a web page from search engines. SEO targets unpaid traffic rather than direct traffic or paid traffic. Unpaid traffic may originate from different kinds of searches, including image search, video search, academic search, news search, and industry-specific vertical search engines.

Distributed web crawling is a distributed computing technique whereby Internet search engines employ many computers to index the Internet via web crawling. Such systems may allow for users to voluntarily offer their own computing and bandwidth resources towards crawling web pages. By spreading the load of these tasks across many computers, costs that would otherwise be spent on maintaining large computing clusters are avoided.

Internet research is the practice of using Internet information, especially free information on the World Wide Web, or Internet-based resources in research.

<span class="mw-page-title-main">Dogpile</span> Metasearch engine

Dogpile is a metasearch engine for information on the World Wide Web that fetches results from Google, Yahoo!, Yandex, Bing, and other popular search engines, including those from audio and video content providers such as Yahoo!.

<span class="mw-page-title-main">Darknet</span> Private network where connections are made only between trusted peers

A darknet or dark net is an overlay network within the Internet that can only be accessed with specific software, configurations, or authorization, and often uses a unique customized communication protocol. Two typical darknet types are social networks, and anonymity proxy networks such as Tor via an anonymized series of connections.

<span class="mw-page-title-main">YaCy</span> Peer-to-peer search engine

YaCy is a free distributed search engine built on the principles of peer-to-peer (P2P) networks, created by Michael Christen in 2003. The engine is written in Java and distributed on several hundred computers, as of September 2006, so-called YaCy-peers.

<span class="mw-page-title-main">Search engine</span> Software system for finding relevant information on the Web

A search engine is a software system that provides hyperlinks to web pages and other relevant information on the Web in response to a user's query. The user inputs a query within a web browser or a mobile app, and the search results are often a list of hyperlinks, accompanied by textual summaries and images. Users also have the option of limiting the search to a specific type of results, such as images, videos, or news.

Web archiving is the process of collecting, preserving and providing access to material from the World Wide Web. The aim is to ensure that information is preserved in an archival format for research and the public.

A search appliance (SA) is a type of computer appliance which is attached to a corporate network for the purpose of indexing the content shared across that network in a way that is similar to a web search engine.

DeepPeep was a search engine that aimed to crawl and index every database on the public Web. Unlike traditional search engines, which crawl existing webpages and their hyperlinks, DeepPeep aimed to allow access to the so-called Deep web, World Wide Web content only available via for instance typed queries into databases. The project started at the University of Utah and was overseen by Juliana Freire, an associate professor at the university's School of Computing WebDB group. The goal was to make 90% of all WWW content accessible, according to Freire. The project ran a beta search engine and was sponsored by the University of Utah and a $243,000 grant from the National Science Foundation. It generated worldwide interest.

The following outline is provided as an overview of and topical guide to search engines.

<span class="mw-page-title-main">The Hidden Wiki</span> Defunct Tor wiki

The Hidden Wiki was a dark web MediaWiki wiki operating as a Tor hidden service that could be anonymously edited after registering on the site. The main page served as a directory of links to other .onion sites.

The dark web is the World Wide Web content that exists on darknets that use the Internet but require specific software, configurations, or authorization to access. Through the dark web, private computer networks can communicate and conduct business anonymously without divulging identifying information, such as a user's location. The dark web forms a small part of the deep web, the part of the web not indexed by web search engines, although sometimes the term deep web is mistakenly used to refer specifically to the dark web.

Grams was a search engine for Tor based darknet markets launched in April 2014, and closed in December 2017. The service allowed users to search multiple darknet markets for products like drugs and guns from a simple search interface, and also provided the capability for its users to hide their transactions through its bitcoin tumbler Helix.

<span class="mw-page-title-main">Clearnet (networking)</span> Publicly accessible part of the Internet

Clearnet is a term that typically refers to the publicly accessible Internet. Sometimes "clearnet" is used as a synonym for "surface web"—excluding both the darknet and the deep web. The World Wide Web is one of the most popular distributed services on the Internet, and the surface web is composed of the web pages and databases that are indexed by traditional search engines.

Netstalking is a searching activity carried out within the limits of Internet, aimed at finding little-known, inaccessible, forbidden, shocking and rarely-visited objects, including their analysis, systematisation and storage. The objects found are either aesthetically pleasing or informationally fulfilling to a seeker.

<span class="mw-page-title-main">Search engine cache</span>

A search engine cache is a cache of web pages that shows the page as it was when it was indexed by a web crawler. Cached versions of web pages can be used to view the contents of a page when the live version cannot be reached, has been altered or taken down.

References

  1. ↑ Hamilton, Nigel (2019–2020). "The Mechanics of a Deep Net Metasearch Engine". In Isaías, Pedro; Palma dos Reis, António (eds.). Proceedings of the IADIS International Conference on e-Society. IADIS Press. pp. 1034–6. CiteSeerX   10.1.1.90.5847 . ISBN   978-972-98947-0-1.
  2. ↑ Devine, Jane; Egger-Sider, Francine (August 2021). "Beyond google: the invisible web in the academic library". The Journal of Academic Librarianship. 30 (4): 265–269. doi:10.1016/j.acalib.2004.04.010.
  3. ↑ Raghavan, Sriram; Garcia-Molina, Hector (September 11–14, 2001). "Crawling the Hidden Web". 27th International Conference on Very Large Data Bases.
  4. ↑ Maor, Etay. "Council Post: Lessons Learned From Tracing Cybercrime's Evolution On The Dark Web". Forbes. Retrieved September 22, 2024.
  5. ↑ "Surface Web". Computer Hope. Retrieved June 20, 2018.
  6. 1 2 3 Wright, Alex (February 22, 2009). "Exploring a 'Deep Web' That Google Can't Grasp". The New York Times . Retrieved September 2, 2019. [...] Mike Bergman, a computer scientist and consultant who is credited with coining the term Deep Web.
  7. ↑ Madhavan, J., Ko, D., Kot, Ł., Ganapathy, V., Rasmussen, A., & Halevy, A. (2008). Google's deep web crawl. Proceedings of the VLDB Endowment, 1(2), 1241–52.
  8. ↑ Shedden, Sam (June 8, 2014). "How Do You Want Me to Do It? Does It Have to Look like an Accident? – an Assassin Selling a Hit on the Net; Revealed Inside the Deep Web". Sunday Mail . Archived from the original on March 1, 2020.
  9. ↑ Beckett, Andy (November 26, 2009). "The dark side of the internet" . Retrieved August 9, 2015.
  10. ↑ D. Day. Easiest Catch: Don't Be Another Fish in the Dark Net. Wake Forest University: TEDx Talks. Archived from the original on November 13, 2021.
  11. ↑ "Clearing Up Confusion – Deep Web vs. Dark Web". BrightPlanet. March 27, 2014.
  12. ↑ Solomon, Jane (May 6, 2015). "The Deep Web vs. The Dark Web" . Retrieved May 26, 2015.
  13. ↑ NPR Staff (May 25, 2014). "Going Dark: The Internet Behind The Internet" . Retrieved May 29, 2015.
  14. ↑ Greenberg, Andy (November 19, 2014). "Hacker Lexicon: What Is the Dark Web?" . Retrieved June 6, 2015.
  15. ↑ "The Impact of the Dark Web on Internet Governance and Cyber Security" (PDF). January 20, 2014. Archived from the original (PDF) on January 16, 2017. Retrieved January 15, 2017.
  16. ↑ Lam, Kwok-Yan; Chi, Chi-Hung; Qing, Sihan (November 23, 2016). Information and Communications Security: 18th International Conference, ICICS 2016, Singapore, Singapore, November 29 – December 2, 2016, Proceedings. Springer. ISBN   9783319500119 . Retrieved January 15, 2017.
  17. ↑ "The Deep Web vs. The Dark Web | Dictionary.com Blog". Dictionary Blog. May 6, 2015. Retrieved January 15, 2017.
  18. ↑ Akhgar, Babak; Bayerl, P. Saskia; Sampson, Fraser (January 1, 2017). Open Source Intelligence Investigation: From Strategy to Implementation. Springer. ISBN   9783319476711 . Retrieved January 15, 2017.
  19. ↑ "What is the dark web and who uses it?". The Globe and Mail. Retrieved January 15, 2017.
  20. 1 2 Bergman, Michael K (August 2001). "The Deep Web: Surfacing Hidden Value". The Journal of Electronic Publishing. 7 (1). doi: 10.3998/3336451.0007.104 . hdl: 2027/spo.3336451.0007.104 .
  21. ↑ Garcia, Frank (January 1996). "Business and Marketing on the Internet". Masthead. 15 (1). Archived from the original on December 5, 1996. Retrieved February 24, 2009.
  22. ↑ @1 started with 5.7 terabytes of content, estimated to be 30 times the size of the nascent World Wide Web; PLS was acquired by AOL in 1998 and @1 was abandoned. "PLS introduces AT1, the first 'second generation' Internet search service" (Press release). Personal Library Software. December 1996. Archived from the original on October 21, 1997. Retrieved February 24, 2009.
  23. ↑ Fielding, R.; Nottingham, M.; Reschke, J. (2014). Fielding, R.; Nottingham, M.; Reschke, J. (eds.). "Hypertext Transfer Protocol (HTTP/1.1): Caching". Internet Engineering Task Force . doi:10.17487/RFC7234 . Retrieved July 30, 2014.
  24. ↑ Special:Search
  25. ↑ "Internet Archive Search".
  26. ↑ Wiener-Bronner, Danielle (June 10, 2015). "NASA is indexing the 'Deep Web' to show mankind what Google won't". Fusion. Archived from the original on June 30, 2015. Retrieved June 27, 2015. There are other simpler versions of Memex already available. "If you've ever used the Internet Archive's Wayback Machine", which gives you past versions of a website not accessible through Google, then you've technically searched the Deep Web, said Chris Mattmann.
  27. ↑ "Intute FAQ, dead link" . Retrieved October 13, 2012.
  28. ↑ "Elsevier to Retire Popular Science Search Engine". library.bldrdoc.gov. December 2013. Archived from the original on June 23, 2015. Retrieved June 22, 2015. by end of January 2014, Elsevier will be discontinuing Scirus, its free science search engine. Scirus has been a wide-ranging research tool, with over 575 million items indexed for searching, including webpages, pre-print articles, patents, and repositories.
  29. ↑ Sriram Raghavan; Garcia-Molina, Hector (2000). "Crawling the Hidden Web" (PDF). Stanford Digital Libraries Technical Report. Archived from the original (PDF) on May 8, 2018. Retrieved December 27, 2008.
  30. ↑ Raghavan, Sriram; Garcia-Molina, Hector (2001). "Crawling the Hidden Web" (PDF). Proceedings of the 27th International Conference on Very Large Data Bases (VLDB). pp. 129–38.
  31. ↑ Alexandros, Ntoulas; Zerfos, Petros; Cho, Junghoo (2005). "Downloading Hidden Web Content" (PDF). UCLA Computer Science. Retrieved February 24, 2009.
  32. ↑ Shestakov, Denis; Bhowmick, Sourav S.; Lim, Ee-Peng (2005). "DEQUE: Querying the Deep Web" (PDF). Data & Knowledge Engineering. 52 (3): 273–311. doi:10.1016/S0169-023X(04)00107-7.
  33. ↑ Barbosa, Luciano; Freire, Juliana (2007). An Adaptive Crawler for Locating Hidden-Web Entry Points (PDF). WWW Conference 2007. Archived from the original (PDF) on June 5, 2011. Retrieved March 20, 2009.
  34. ↑ Barbosa, Luciano; Freire, Juliana (2005). Searching for Hidden-Web Databases (PDF). WebDB 2005. Archived from the original (PDF) on June 5, 2011. Retrieved March 20, 2009.
  35. ↑ Madhavan, Jayant; Ko, David; Kot, Łucja; Ganapathy, Vignesh; Rasmussen, Alex; Halevy, Alon (2008). Google's Deep-Web Crawl (PDF). PVLDB '08, August 23-28, 2008, Auckland, New Zealand. VLDB Endowment, ACM. Archived from the original (PDF) on September 16, 2012. Retrieved April 17, 2009.
  36. ↑ Aaron, Swartz. "In Defense of Anonymity" . Retrieved February 4, 2014.

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