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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Main Authors: | Do, Nguyet Quang, Selamat, Ali, Krejcar, Ondrej, Yokoi, Takeru, Fujita, Hamido |
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Format: | Article |
Language: | English |
Published: |
MDPI
2021
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/94796/1/AliSelamat2021_PhishingWebpageClassificationviaDeep.pdf http://eprints.utm.my/id/eprint/94796/ http://dx.doi.org/10.3390/app11199210 |
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