Detection of Phishing Domains Using Convolutional Neural Networks with Gated Recurrent Units and Hybrid CNN-GRU Models

Over the years series of attacks has been launched by attackers in order to steal from users, one of the most prevalent attacks is the phishing attacks, this phishing attacks is has become alarming, various approaches has been used to curb this menace but non has actually provide the best solution to this threatening cybercrime […]

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Publication Details

Published
2024-12-31
DOI
https://doi.org/10.20533/icitst.2024.0018
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Detection of Phishing Domains Using Convolutional Neural Networks with Gated Recurrent Units and Hybrid CNN-GRU Models

O.D. Alowolodu, Timothy Ayo
Spam and Phishing Detection
article

Detection of Phishing Domains Using Convolutional Neural Networks with Gated Recurrent Units and Hybrid CNN-GRU Models

O.D. Alowolodu, Timothy Ayo
article en

Abstract

Over the years series of attacks has been launched by attackers in order to steal from users, one of the most prevalent attacks is the phishing attacks, this phishing attacks is has become alarming, various approaches has been used to curb this menace but non has actually provide the best solution to this threatening cybercrime […]

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Spam and Phishing Detection
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