An application for predicting phishing attacks: A case of implementing a support vector machine learning model

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00382131" target="_blank" >RIV/68407700:21230/24:00382131 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1016/j.csa.2024.100036" target="_blank" >https://doi.org/10.1016/j.csa.2024.100036</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.csa.2024.100036" target="_blank" >10.1016/j.csa.2024.100036</a>

Result language

angličtina

Original language name

An application for predicting phishing attacks: A case of implementing a support vector machine learning model

Original language description

This work presents an application designed to predict phishing attacks after comparing polynomial and radial basis function of support vector machine (SVM). The proposed application leverages a dataset of known legitimate, suspicious and phishing attacks stored in a database and employs an SVM algorithm for classification based on user input.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

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

Name of the periodical

Cyber Security and Applications

ISSN

2772-9184

e-ISSN

2772-9184

Volume of the periodical

2

Issue of the periodical within the volume

January

Country of publishing house

CN - CHINA

Number of pages

12

Pages from-to

1-12

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85183474542