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Technical identifiers of fraudulent web pages, a systematic literature review
University of Skövde, School of Informatics.
2020 (English)Independent thesis Basic level (degree of Bachelor), 15 credits / 22,5 HE creditsStudent thesis
Abstract [en]

Fraudulent pages are a danger to which all web users are exposed. These pages have illegitimate purposes such as the theft of sensitive user information. There are a lot of tools available on the market today that are aimed at detecting malicious pages, however, these are not reliable enough and that is why there is still a lot of room for future improvement. Therefore, further analysis of the malicious pages and their characteristics is a key element in protecting users and in the future in eradicating this type of malicious page.

A systematic review of the literature has been conducted to generate a list of features that can be used to detect malicious pages and that can ensure a high level of accuracy. During the development of the study, the different articles on the subject have been compared and analysed. For this process of analysis, thematic coding has been used, a qualitative method of analysis, which means that an in-depth understanding of ideas has been pursued. The document presents the already cited list of characteristics as well as offering suggestions and ideas that can be used in the development of future

Place, publisher, year, edition, pages
2020. , p. 66
Keywords [en]
Web, fraudulent, feature, tool, detection
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:his:diva-19048OAI: oai:DiVA.org:his-19048DiVA, id: diva2:1466466
Subject / course
Informationsteknologi
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Available from: 2020-09-11 Created: 2020-09-11 Last updated: 2020-09-11Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf