Efficient Mechanism for Identifying Appropriate Phishing Websites Utilizing Machine Learning

Web Phishing is a common type of online attack in which victims are duped into giving up their personal information by visiting fraudulent websites. URL shortening tools used in phishing attacks are designed to steal sensitive information such as user names, passwords, and banking details. While posing as these legitimate websites, phishes utilize those that look and feel like a standard, rectangular diploma. Anti-phishing systems have become more important in today's world as phishing methods have begun to evolve at an alarming rate along with the rest of technology. Machine learning for recognition is a potent tool, and it is increasingly being used to detect phishing scams. This article provides a broad overview of Machine learning's detection and detection capabilities.

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Published
2025-03-19
DOI
https://doi.org/10.1109/iciccs65191.2025.10985317
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
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article

Efficient Mechanism for Identifying Appropriate Phishing Websites Utilizing Machine Learning

M. Saraswathi, S. Amutha, K. Amsaveni, G. Uma Maheswari et al.
Spam and Phishing Detection
article

Efficient Mechanism for Identifying Appropriate Phishing Websites Utilizing Machine Learning

M. Saraswathi, S. Amutha, K. Amsaveni, G. Uma Maheswari, A. Alagulakshmi, Felicia Jerlin
article en

Abstract

Web Phishing is a common type of online attack in which victims are duped into giving up their personal information by visiting fraudulent websites. URL shortening tools used in phishing attacks are designed to steal sensitive information such as user names, passwords, and banking details. While posing as these legitimate websites, phishes utilize those that look and feel like a standard, rectangular diploma. Anti-phishing systems have become more important in today's world as phishing methods have begun to evolve at an alarming rate along with the rest of technology. Machine learning for recognition is a potent tool, and it is increasingly being used to detect phishing scams. This article provides a broad overview of Machine learning's detection and detection capabilities.

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), SRM Institute of Science and Technology (IN), Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya (IN)
Reduced inequalities
Openalex Percentile: Top 86%
Spam and Phishing Detection
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