Comparative Performance Study of Machine Learning Algorithms for  Phishing URL Detection in Cyber Security Systems

G.Lingaiah,Dr.Ram Kinkar Pandey

Comparative Performance Study of Machine Learning Algorithms for Phishing URL Detection in Cyber Security Systems

Authors

G.Lingaiah,Dr.Ram Kinkar Pandey

Keywords:

Phishing detection, Cybersecurity, Machine learning, URL classification, Random Forest, Support Vector Machine, Gradient Boost, PhiUSIIL_Phishing_URL_Dataset.

Abstract

Phishing remains one of the most pervasive and damaging forms of cybercrime, exploitingdeceptive URLs to trick unsuspecting users into revealing sensitive information such as bankingcredentials, login details, and personal data

References

N. Abdelhamid, F. Thabtah, and A. Abdel-

B. B. Gupta, A. Tewari, A. Jain, and D. P.

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Published

2023-07-20

How to Cite

G.Lingaiah,Dr.Ram Kinkar Pandey. (2023). Comparative Performance Study of Machine Learning Algorithms for Phishing URL Detection in Cyber Security Systems . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 1865–1873. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3781