Automatic phishing website detection and prevention model using transformer deep belief network

In the digitally connected world cybersecurity is paramount, phishing where attackers pose as trusted entities to steal sensitive data, looms large. The proliferation of phishing attacks on the internet poses a substantial threat to individuals and organizations, compromising sensitive information a...

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Bibliographic Details

Published in:	Computers & security Vol. 147; p. 104071
Main Authors:	Majgave, Amol Babaso, Gavankar, Nitin L.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.12.2024
Subjects:	DarkNet19 Intelligence binary bat algorithm detection One hot encoding Phishing website Transformer-based deep belief networks Variation auto encoder Variation auto encoder DarkNet19 Intelligence binary bat algorithm detection Phishing website One hot encoding Transformer-based deep belief networks
ISSN:	0167-4048
Online Access:	Get full text
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