A Survey of Intelligent Detection Designs of HTML URL Phishing Attacks
نویسندگان
چکیده
Phishing attacks are a type of cybercrime that has grown in recent years. It is part social engineering where an attacker deceives users by sending fake messages using media platforms or emails. steal users’ information download and install malicious software. They hard to detect because attackers can design phishing message looks legitimate user. This may contain URL so even expert be victim. leads the victim website steals information, such as login payment etc. Researchers engineers work develop methods without need for eyes experts. Even though many papers discuss HTML URL-based detection methods, there no comprehensive survey these methods. Therefore, this paper comprehensively surveys We review current state-of-art deep learning models hybrid-based detail. compare each model based on its data preprocessing, feature extraction, design, performance.
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A Review on Phishing URL Detection using Machine Learning Systems
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2023
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2023.3237798