An application for predicting phishing attacks: A case of implementing a support vector machine learning model

The imminent threat that phishing websites poses is a major concern for internet users worldwide. These fraudulent websites are crafted by cyber attackers to appear trustworthy and deceive vulnerable users into divulging confidential data like medical health records, credit card details, passwords,...

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Bibliographic Details
Main Authors: Emmanuel Song Shombot, Gilles Dusserre, Robert Bestak, Nasir Baba Ahmed
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-01-01
Series:Cyber Security and Applications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S277291842400002X
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