Modelling of an Untrustworthiness of Fraudulent Websites Using Machine Learning Algorithms

Kristína Machová, Martin Kaňuch

2024

Abstract

This paper focuses on learning models that can detect fraudulent websites accurately enough to help users avoid becoming a victim of fraud. Both classical machine learning methods and neural network learning were used for modelling. Attributes were extracted from the content and the structure of fraudulent websites, as well as attributes derived from the way of their using, to generate the detection models. The best model was used in an application in the form of a Google Chrome browser extension. The application may be beneficial in the future for new users and older people who are more prone to believe scammers. By focusing on key factors such as URL syntax, hostname legitimacy, and other special attributes, the app can help prevent financial loss and protect individuals and businesses from online fraud.

Paper Citation

in Harvard Style

Machová K. and Kaňuch M. (2024). Modelling of an Untrustworthiness of Fraudulent Websites Using Machine Learning Algorithms. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR; ISBN 978-989-758-716-0, SciTePress, pages 218-225. DOI: 10.5220/0012886700003838

in Bibtex Style

@conference{kdir24,
author={Kristína Machová and Martin Kaňuch},
title={Modelling of an Untrustworthiness of Fraudulent Websites Using Machine Learning Algorithms},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR},
year={2024},
pages={218-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012886700003838},
isbn={978-989-758-716-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR
TI - Modelling of an Untrustworthiness of Fraudulent Websites Using Machine Learning Algorithms
SN - 978-989-758-716-0
AU - Machová K.
AU - Kaňuch M.
PY - 2024
SP - 218
EP - 225
DO - 10.5220/0012886700003838
PB - SciTePress