Aggregation-Based Ensemble Classifier Versus Neural Networks Models for Recognizing Phishing Attacks

This contribution proposes a classifier designed to reduce the number of false positive detections. It is a self-tuning model, tested in the context of phishing link detection. In this prediction model diverse types of aggregation functions and time-series data periods are used. Aggregation function...

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Detalles Bibliográficos

Principais autores:	Wojciech Galka, Jan G. Bazan, Urszula Bentkowska, Kamil Szwed, Marcin Mrukowicz, Pawel Drygas, Lech Zareba, Marcin Szpyrka, Piotr Suszalski, Sebastian Obara
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2025-01-01
Series:	IEEE Access
Assuntos:	Ensemble classifiers incremental learning on-line incremental learning online incremental learning online learning neural networks
Acceso en liña:	https://ieeexplore.ieee.org/document/10928336/
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