Analysis of phishing attacks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F24%3A00560181" target="_blank" >RIV/60162694:G43__/24:00560181 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1088/978-0-7503-4801-0ch10" target="_blank" >http://dx.doi.org/10.1088/978-0-7503-4801-0ch10</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/978-0-7503-4801-0ch10" target="_blank" >10.1088/978-0-7503-4801-0ch10</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of phishing attacks

Popis výsledku v původním jazyce

The paper deals with the analysis of phishing emails and modelling of the phishing attacks. In introduction is mentioned definition of phishing, type of messages in content of phishing-email and the basic techniques of phishing email attacks. The research includes three experiments carried out over the course of one year. Data collection was made from email accounts one of the authors in the time interval of one months at begin, middle and end of period. Data was included into tables, which allow better statistical processing and frequency analysis. The important part of the research is the segmentation of emails according to the content of the sent message. Segment Business, Fund, Transfer, Charity, and Others is explained, characterized by key words and one example of typical mail message is introduced. Text analytical SW Tovek is used for analysis and extraction entities (name, email address, phone numbers, geographic data, etc.) from the text of emails. This intelligent function of the SW Tovek in the entities extraction was tested and evaluated.

Název v anglickém jazyce

Analysis of phishing attacks

Popis výsledku anglicky

The paper deals with the analysis of phishing emails and modelling of the phishing attacks. In introduction is mentioned definition of phishing, type of messages in content of phishing-email and the basic techniques of phishing email attacks. The research includes three experiments carried out over the course of one year. Data collection was made from email accounts one of the authors in the time interval of one months at begin, middle and end of period. Data was included into tables, which allow better statistical processing and frequency analysis. The important part of the research is the segmentation of emails according to the content of the sent message. Segment Business, Fund, Transfer, Charity, and Others is explained, characterized by key words and one example of typical mail message is introduced. Text analytical SW Tovek is used for analysis and extraction entities (name, email address, phone numbers, geographic data, etc.) from the text of emails. This intelligent function of the SW Tovek in the entities extraction was tested and evaluated.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Human-Assisted Intelligent Computing: Modelling, simulations and applications

ISBN

978-0-7503-4799-0

Počet stran výsledku

15

Strana od-do

101-115

Počet stran knihy

726

Název nakladatele

Institute of Physics Publishing Ltd.

Místo vydání

Bristol, Velká Británie

Kód UT WoS kapitoly

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