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How mail components on the server side detects and process undesired emails: a systematic literature review
University of Skövde, School of Informatics.
2021 (English)Independent thesis Basic level (degree of Bachelor), 15 credits / 22,5 HE creditsStudent thesis
Abstract [en]

As the use of emails increases constantly every year, so do the reports of various victims in society, on companies and individuals who have been affected by these undesirable emails in the form of spam, spoofing and phishing in their inbox. The effect of undesirable emails are many, but in summary, they cost the society and organization immense amount of money. This study will aim to understand why these emails still make its way into a user’s inbox by identifying current existing solutions that are being used by email servers to evaluate incoming undesirable emails.

The analysis of the study shows that there are shortcomings in the solutions that are being used today, which lead to undesirable emails reaching a user’s inbox, and it is likely to continue in the near foreseeable future, unless research and or actions are applied to some of the brought-up issues in this study, namely problems with adoption and usage rate of authentication protocols, technical issues within authentication protocols and emails being wrongly classified by today's filtering techniques.

Place, publisher, year, edition, pages
2021. , p. 43
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:his:diva-20120OAI: oai:DiVA.org:his-20120DiVA, id: diva2:1576516
Subject / course
Informationsteknologi
Educational program
Network and Systems Administration
Supervisors
Examiners
Available from: 2021-07-01 Created: 2021-07-01 Last updated: 2021-07-01Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
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