Detection of phishing URLs with deep learning based on GAN-CNN-LSTM network and swarm intelligence algorithms

Phishing attacks are one of the challenges of the Internet and its users. Phishing attacks are an example of social engineering attacks based on deceiving users. In phishing attacks, fake pages that are very similar to legitimate pages are created on the Internet. In phishing attacks, the victim is...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Signal, image and video processing Jg. 18; H. 6-7; S. 4979 - 4995
Hauptverfasser:	Albahadili, Abbas Jabr Saleh, Akbas, Ayhan, Rahebi, Javad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.08.2024 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Artificial neural networks Blacklisting Computer Imaging Computer Science COVID-19 Cybercrime Datasets Deep learning Feature extraction Feature selection Heuristic Image Processing and Computer Vision Internet Machine learning Multimedia Information Systems Neural networks Optimization algorithms Original Paper Pattern Recognition and Graphics Phishing Sensitivity Signal,Image and Speech Processing Social networks Swarm intelligence Vision Fake pages Swarm intelligence algorithm Feature selection Generative adversarial network (GAN) Convolutional neural network (CNN) Phishing attacks
ISSN:	1863-1703, 1863-1711
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!