Detecting phishing websites through improving convolutional neural networks with Self-Attention mechanism

Detecting phishing websites through improving convolutional neural networks with Self-Attention mechanism

Emerging technologies have made internet connection a vital activity facilitating access to many services. However, internet connection raises many security concerns, such as illegally acquiring private information, passwords, and identifiers. Phishing websites are the first choice for attackers tha...

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Bibliographic Details
Main Authors: Yahia Said, Ahmed A. Alsheikhy, Husam Lahza, Tawfeeq Shawly
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Ain Shams Engineering Journal
Subjects:
phishing URL
Deep learning
Multi-head self-attention mechanism
Convolutional neural networks
Generative adversarial network
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447924000182

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