How to Understand Phishing

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F24%3A00558765" target="_blank" >RIV/60162694:G43__/24:00558765 - isvavai.cz</a>
Result on the web
<a href="https://wseas.com/journals/articles.php?id=7459" target="_blank" >https://wseas.com/journals/articles.php?id=7459</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.37394/23205.2023.22.1" target="_blank" >10.37394/23205.2023.22.1</a>

Result language
angličtina
Original language name
How to Understand Phishing
Original language description
The article is based on the results of previous research, is focused on the analysis and classification of phishing emails, and documents the results of communication with the phisher attacker. In the first part of the article, an experiment carried out with a randomly selected set of emails confirms the considerable uncertainty of the correct result of automatic classification based on keywords using text analysis software. The second part of the article contains the experiment of communication with phishing attackers. A typical scenario of message exchange is presented. Thanks to the correct setting of security and protection rules, no security incident occurred. The literature search confirms the great interest in publishing in the field of phishing. Compared to the content of the published article, it turned out that its focus is completely original.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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