Cargando…
A Semisupervised Majority Weighted Vote Antiphishing Attacks IDS for the Education Industry
Although the digital transformation is advancing, a significant portion of the population in all countries of the world is not familiar with the technological means that allow malicious users to deceive them and gain great financial benefits using phishing techniques. Phishing is an act of deception...
Autores principales: | Yin, Xiaona, Zheng, Xingxing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989555/ https://www.ncbi.nlm.nih.gov/pubmed/35401723 http://dx.doi.org/10.1155/2022/7402085 |
Ejemplares similares
-
An ensemble learning based IDS using Voting rule: VEL-IDS
por: Emanet, Sura, et al.
Publicado: (2023) -
A Privacy-Preserved Variational-Autoencoder for DGA Identification in the Education Industry and Distance Learning
por: Zheng, Xingxing, et al.
Publicado: (2022) -
Group decisions based on confidence weighted majority voting
por: Meyen, Sascha, et al.
Publicado: (2021) -
Wolf attacks predict far-right voting
por: Clemm von Hohenberg, Bernhard, et al.
Publicado: (2022) -
Online Coregularization for Multiview Semisupervised Learning
por: Sun, Boliang, et al.
Publicado: (2013)