Phishing Detection Using MLT

Author(s)	JAYASURYA S R, SHARAN T G, DHANESH RAJ R
Country	India
Abstract	The Internet has become an indispensable part of our life, However, It also has provided opportunities to anonymously perform malicious activities like Phishing. Phishers try to deceive their victims by social engineering or creating mock- up websites to steal information such as account ID, username, password from individuals and organizations. Although many methods have been proposed to detect phishing websites, Phishers have evolved their methods to escape from these detection methods. One of the most successful methods for detecting these malicious activities is Machine Learning. This is because most Phishing attacks have some common characteristics which can be identified by machine learning methods. In this paper, we compared the results of multiple machine learning methods for predicting phishing websites.
Keywords	Phishing, Classification, Cybercrime, Machine learning
Field	Engineering
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-04-13
Cite This	Phishing Detection Using MLT - JAYASURYA S R, SHARAN T G, DHANESH RAJ R - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3400
DOI	https://doi.org/10.71097/IJSAT.v16.i2.3400
Short DOI	https://doi.org/g9fcjg

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