Sustaining accurate detection of phishing URLs using SDN and feature selection approaches

Volume: 201, Pages: 108591 - 108591
Published: Dec 1, 2021
Abstract
Phishing is an online fraud that deceives visitors by impersonating a legitimate website to steal their confidential or personal information. This is a well-known form of cybercrime. With the aim of detecting phishing sites, several phishing site detection techniques have recently been created. However, it fails to achieve the desired goal and has a large number of drawbacks, including low accuracy, long learning curve, and low-power embedded...
Paper Details
Title
Sustaining accurate detection of phishing URLs using SDN and feature selection approaches
Published Date
Dec 1, 2021
Volume
201
Pages
108591 - 108591
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