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
Published in:	Applied Sciences Vol. 11; no. 19; p. 9210
Main Authors:	Do, Nguyet Quang, Selamat, Ali, Krejcar, Ondrej, Yokoi, Takeru, Fujita, Hamido
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 03.10.2021
Subjects:	Accuracy Algorithms Biology (General) Business metrics Chemistry Convolutional neural network (CNN) Cybersecurity Deep learning deep learning (DL) deep neural network (DNN) Engineering (General). Civil engineering (General) Gated Recurrent Unit (GRU) Internet of Things Literature reviews Long Short Term Memory (LSTM) Machine learning Neural networks Optimization Phishing detection Physics QA75 Electronic computers. Computer science QC1-999 QD1-999 QH301-705.5 T T Technology (General) T58.5-58.64 Information technology TA1-2040 Technology Websites
ISSN:	2076-3417, 2076-3417
Online Access:	Get full text
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