Deep web
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-engines. This is in contrast to the "surface web", which is accessible to anyone using the Internet.[4] Computer-scientist Michael K. Bergman is credited with coining the term in 2001 as a search-indexing term.[5]
The content of the deep web is hidden behind HTTP forms[vague][6][7] and includes uses such as web mail, online banking, restricted access social-media pages and profiles, some web forums that require registration for viewing content, and services that users must pay for, and which are protected by paywalls, such as video on demand and some online magazines and newspapers.
The content of the deep web can be located and accessed by a direct URL or IP address, but may require a password or other security access to get past public-website pages.
Terminology
The first conflation of the terms "deep web" with "dark web" came about in 2009 when deep web search terminology was discussed together with illegal activities taking place on the Freenet and darknet.[8] Those criminal activities include the commerce of personal passwords, false identity documents, drugs, firearms, and child pornography.[9]
Since then, after their use in the media's reporting on the Silk Road, media outlets have taken to using 'deep web' synonymously with the dark web or darknet, a comparison some reject as inaccurate[10] and consequently has become an ongoing source of confusion.[11] Wired reporters Kim Zetter[12] and Andy Greenberg[13] recommend the terms be used in distinct fashions. While the deep web is a reference to any site that cannot be accessed through a traditional search engine, the dark web is a portion of the deep web that has been intentionally hidden and is inaccessible through standard browsers and methods.[14][15][16][17][18]
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.[19] Bergman cited a January 1996 article by Frank Garcia:[20]
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 #1 Deep Web tool found in a December 1996 press release.[21]
The first use of the specific term deep web, now generally accepted, occurred in the aforementioned 2001 Bergman study.[19]
Indexing methods
Methods that prevent web pages from being indexed by traditional search engines may be categorized as one or more of the following:
- Contextual web: pages with content varying for different access contexts (e.g., ranges of client IP addresses or previous navigation sequence).
- 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.
- Limited access content: sites that limit access to their pages in a technical way (e.g., using the Robots Exclusion Standard or CAPTCHAs, or no-store directive, which prohibit search engines from browsing them and creating cached copies).[22] Sites may feature an internal search engine for exploring such pages.[23][24]
- Non-HTML/text content: textual content encoded in multimedia (image or video) files or specific file formats not handled by search engines.
- Private web: sites that require registration and login (password-protected resources).
- Scripted content: pages that are only accessible through links produced by JavaScript as well as content dynamically downloaded from Web servers via Flash or Ajax solutions.
- Software: certain content is intentionally hidden 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.
- 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.
- 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. The Wayback Machine may be called 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 through a search. All websites are updated at some point, which is why web archives are considered Deep Web content.[25]
- robots.txt files: A robots.txt file can advise search engine bots not to crawl websites using user-agent: * then disallow: /. This will tell all search engine bots not to crawl the entire website and add it to the search engine.[26]
- IP Address Whitelisting/Blacklist: Websites can blacklist the IP addresses of search engines or whitelist the IP addresses of wanted visitors
Content types
While it is not always possible to directly discover 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.[27] It has been noted that this can be (partially) overcome by providing links to query results, but this could unintentionally inflate the popularity of a member of the deep web.
DeepPeep, Intute, Deep Web Technologies, Scirus, Ahmia.fi은 딥 웹에 접속한 몇 개의 검색 엔진이다. 인투트는 자금 지원이 바닥나 현재 2011년 7월 현재 임시 정적 자료 보관소다.[28] scirus는 2013년 1월 말경에 은퇴했다.[29]
연구진은 토르와 같은 특수 소프트웨어에서만 접속할 수 있는 콘텐츠 등 딥웹이 어떻게 자동으로 기어나갈 수 있는지 탐구해 왔다. 2001년, Siram Raghavan과 Hector Garcia-Molina(스탠퍼드 컴퓨터 과학부, 스탠퍼드 대학교)[30][31]는 사용자가 제공하거나 쿼리 인터페이스로부터 수집한 주요 용어를 사용하여 웹 양식을 조회하고 딥 웹 콘텐츠를 탐색하는 히든 웹 크롤러의 아키텍처 모델을 제시했다. UCLA의 알렉산드로스 은툴라스, 페트로스 제르포스, 조정호 등은 검색 양식에 반하여 발행할 의미 있는 쿼리를 자동으로 생성하는 숨겨진 웹 크롤러를 만들었다.[32] 쿼리 발행 이외에도 결과 페이지에서 구조화된 데이터를 추출할 수 있도록 몇 가지 양식 쿼리 언어(예: DEQUEL[33])가 제안되었다. 또 다른 노력으로는 미국 국립과학재단이 후원하는 유타 대학의 프로젝트인 DeepPeep이 있는데, 이 프로젝트에서는 새로운 중점 크롤러 기법을 바탕으로 서로 다른 영역으로 숨겨진 웹 소스(웹 양식)를 모았다.[34][35]
상업용 검색 엔진들은 심층 웹을 기어 다닐 수 있는 대안적인 방법을 탐구하기 시작했다. 시테맵 프로토콜(2005년 구글이 처음 개발, 도입)과 OAI-PMH는 검색엔진 및 기타 이해관계자들이 특정 웹서버에서 심층 웹자원을 발견할 수 있도록 하는 메커니즘이다. 두 메커니즘 모두 웹 서버가 접근할 수 있는 URL을 광고할 수 있도록 하여 표면 웹과 직접 연결되지 않은 자원의 자동 검색을 가능하게 한다. 구글의 딥웹서페이싱 시스템은 각 HTML 양식에 대한 제출물을 계산하고 결과 HTML 페이지를 구글 검색엔진 색인에 추가한다. 표면화된 결과는 심층 웹 콘텐츠에 대한 초당 1,000개의 쿼리를 차지한다.[36] 이 시스템에서 제출의 사전 컴퓨팅은 다음 세 가지 알고리즘을 사용하여 이루어진다.
- 키워드를 수락하는 텍스트 검색 입력에 대한 입력 값 선택
- 특정 유형(예: 날짜)의 값만 허용하는 입력 식별
- 웹 검색 색인에 포함하기에 적합한 URL을 생성하는 소수의 입력 조합 선택.
2008년, 숨겨진 .onion 접미사의 액세스와 검색에서 Tor 숨겨진 서비스의 사용자를 용이하게 하기 위해, Aaron Swartz는 일반적인 웹 브라우저를 통해 액세스를 제공할 수 있는 프록시 애플리케이션인 Tor2web을 설계했다.[37] 이 응용 프로그램을 사용하면 .onion 최상위 도메인이 이어지는 문자의 임의 문자열로 딥 웹 링크가 나타난다.
참고 항목
참조
- ^ Hamilton, Nigel (2003). "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. pp. 1034–6. CiteSeerX 10.1.1.90.5847. ISBN 972-98947-0-1.
- ^ Devine, Jane; Egger-Sider, Francine (August 2004). "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.
- ^ Raghavan, Sriram; Garcia-Molina, Hector (September 11–14, 2001). "Crawling the Hidden Web". 27th International Conference on Very Large Data Bases.
- ^ "Surface Web". Computer Hope. Retrieved June 20, 2018.
- ^ 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.
- ^ 마드하반, J, Ko, D, Kot, WW, 가나파시, V, 라스무센, A, 헤일비, A. (2008) 구글의 딥웹 크롤. VLDB Endowment, 1(2), 1241–52의 절차.
- ^ 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.
- ^ Beckett, Andy (November 26, 2009). "The dark side of the internet". Retrieved August 9, 2015.
- ^ 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.
- ^ "Clearing Up Confusion – Deep Web vs. Dark Web". BrightPlanet. March 27, 2014.
- ^ Solomon, Jane (May 6, 2015). "The Deep Web vs. The Dark Web". Retrieved May 26, 2015.
- ^ NPR Staff (May 25, 2014). "Going Dark: The Internet Behind The Internet". Retrieved May 29, 2015.
- ^ Greenberg, Andy (November 19, 2014). "Hacker Lexicon: What Is the Dark Web?". Retrieved June 6, 2015.
- ^ "The Impact of the Dark Web on Internet Governance and Cyber Security" (PDF). January 20, 2014. Retrieved January 15, 2017.
- ^ 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.
- ^ "The Deep Web vs. The Dark Web Dictionary.com Blog". Dictionary Blog. May 6, 2015. Retrieved January 15, 2017.
- ^ 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.
- ^ "What is the dark web and who uses it?". The Globe and Mail. Retrieved January 15, 2017.
- ^ a b Bergman, Michael K (August 2001). "The Deep Web: Surfacing Hidden Value". The Journal of Electronic Publishing. 7 (1). doi:10.3998/3336451.0007.104.
- ^ 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.
- ^ @1 초창기 월드 와이드 웹의 30배 크기로 추정되는 5.7테라바이트의 콘텐츠로 시작한 PLS는 1998년 AOL에 인수되어 @1은 폐기되었다. "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.
- ^ "Hypertext Transfer Protocol (HTTP/1.1): Caching". Internet Engineering Task Force. 2014. Retrieved July 30, 2014.
- ^ 특수:검색
- ^ "Internet Archive Search".
- ^ Wiener-Bronner, Danielle (June 10, 2015). "NASA is indexing the 'Deep Web' to show mankind what Google won't". Fusion. 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.
- ^ "How to Create the Perfect Robots.txt File for SEO". Neil Patel. March 30, 2017. Retrieved January 20, 2021.
- ^ Wright, Alex (February 22, 2009). "Exploring a 'Deep Web' That Google Can't Grasp". The New York Times. Retrieved February 23, 2009.
- ^ "Intute FAQ, dead link". Retrieved October 13, 2012.
- ^ "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.
- ^ Sriram Raghavan; Garcia-Molina, Hector (2000). "Crawling the Hidden Web" (PDF). Stanford Digital Libraries Technical Report. Retrieved December 27, 2008. Cite 저널은 필요로 한다.
journal=(도움말) - ^ 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.
- ^ Alexandros, Ntoulas; Zerfos, Petros; Cho, Junghoo (2005). "Downloading Hidden Web Content" (PDF). UCLA Computer Science. Retrieved February 24, 2009. Cite 저널은 필요로 한다.
journal=(도움말) - ^ 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.
- ^ Barbosa, Luciano; Freire, Juliana (2007). "An Adaptive Crawler for Locating Hidden-Web Entry Points" (PDF). WWW Conference 2007. Retrieved March 20, 2009. Cite 저널은 필요로 한다.
journal=(도움말) - ^ Barbosa, Luciano; Freire, Juliana (2005). "Searching for Hidden-Web Databases" (PDF). WebDB 2005. Retrieved March 20, 2009. Cite 저널은 필요로 한다.
journal=(도움말) - ^ Madhavan, Jayant; Ko, David; Kot, Łucja; Ganapathy, Vignesh; Rasmussen, Alex; Halevy, Alon (2008). "Google's Deep-Web Crawl" (PDF). VLDB Endowment, ACM. Retrieved April 17, 2009. Cite 저널은 필요로 한다.
journal=(도움말) - ^ Aaron, Swartz. "In Defense of Anonymity". Retrieved February 4, 2014.
추가 읽기
- Barker, Joe (January 2004). "Invisible Web: What it is, Why it exists, How to find it, and its inherent ambiguity". University of California, Berkeley, Teaching Library Internet Workshops. Archived from the original on July 29, 2005. Retrieved July 26, 2011..
- Basu, Saikat (March 14, 2010). "10 Search Engines to Explore the Invisible Web". MakeUseOf.com..
- Ozkan, Akin (November 2014). "Deep Web /Derin İnternet"..
- Gruchawka, Steve (June 2006). "How-To Guide to the Deep Web"..
- Hamilton, Nigel (2003). "The Mechanics of a Deep Net Metasearch Engine". 12th World Wide Web Conference..
- He, Bin; Chang, Kevin Chen-Chuan (2003). "Statistical Schema Matching across Web Query Interfaces" (PDF). Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data. Archived from the original (PDF) on July 20, 2011.
- Howell O'Neill, Patrick (October 2013). "How to search the Deep Web". The Daily Dot..
- Ipeirotis, Panagiotis G.; Gravano, Luis; Sahami, Mehran (2001). "Probe, Count, and Classify: Categorizing Hidden-Web Databases" (PDF). Proceedings of the 2001 ACM SIGMOD International Conference on Management of Data. pp. 67–78. Archived from the original (PDF) on September 12, 2006. Retrieved September 26, 2006.
- King, John D.; Li, Yuefeng; Tao, Daniel; Nayak, Richi (November 2007). "Mining World Knowledge for Analysis of Search Engine Content" (PDF). Web Intelligence and Agent Systems. 5 (3): 233–53. Archived from the original (PDF) on December 3, 2008. Retrieved July 26, 2011.
- McCown, Frank; Liu, Xiaoming; Nelson, Michael L.; Zubair, Mohammad (March–April 2006). "Search Engine Coverage of the OAI-PMH Corpus" (PDF). IEEE Internet Computing. 10 (2): 66–73. doi:10.1109/MIC.2006.41. S2CID 15511914.
- Price, Gary; Sherman, Chris (July 2001). The Invisible Web: Uncovering Information Sources Search Engines Can't See. CyberAge Books. ISBN 978-0-910965-51-4.
- Shestakov, Denis (June 2008). Search Interfaces on the Web: Querying and Characterizing. TUCS Doctoral Dissertations 104, University of Turku
- Whoriskey, Peter (December 11, 2008). "Firms Push for a More Searchable Federal Web". The Washington Post. p. D01.[dead link].
- Wright, Alex (March 2004). "In Search of the Deep Web". Salon. Archived from the original on March 9, 2007..
- Scientists, Naked (December 2014). "The Internet: the good, the bad and the ugly – In-depth exploration of the Internet and the Dark Web by Cambridge University's Naked Scientists" (Podcast).
External links
Media related to Deep web at Wikimedia Commons
| Look up Deep Web in Wiktionary, the free dictionary. |