Phishing Webpage Classification via Deep Learning-Based Algorithms: An Empirical Study

Phishing Webpage Classification via Deep Learning-Based Algorithms: An Empirical Study

Phishing detection with high-performance accuracy and low computational complexity has always been a topic of great interest. New technologies have been developed to improve the phishing detection rate and reduce computational constraints in recent years. However, one solution is insufficient to add...

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Bibliographic Details
Main Authors: Nguyet Quang Do, Ali Selamat, Ondrej Krejcar, Takeru Yokoi, Hamido Fujita
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Applied Sciences
Subjects:
phishing detection
deep learning (DL)
deep neural network (DNN)
convolutional neural network (CNN)
long short-term memory (LSTM)
gated recurrent unit (GRU)
Online Access:https://www.mdpi.com/2076-3417/11/19/9210

Internet

https://www.mdpi.com/2076-3417/11/19/9210

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