Detection of Phishing Sites Using Machine Learning Techniques

Authors

DOI:

https://doi.org/10.47392/IRJAEH.2024.0034

Keywords:

Heat Map, MLP, SVM, Machine Learning, Phishing, Domain

Abstract

Phishing is a very commonly occurring attack in which the attacker attempt to get the private information of the user like card details, their passwords their transaction details etc. using fake copy websites. Attackers uses the websites very similar to the original websites and not possible for common people to identify. Phishing is the biggest loop-hole in the cyber world. Phishing became a successful business for phishers. Other than fake websites phishers uses different methods to do this job using messaging, spoofed links to make money and to counter Phishing various method are proposed some anti-phishing techniques are blacklist, whitelist but due to exponential growth on new innovations and technologies these techniques falls a little below as new websites contains dynamically work in it due to that these techniques cannot outperform todays websites.

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Published

2024-02-29

How to Cite

Detection of Phishing Sites Using Machine Learning Techniques. (2024). International Research Journal on Advanced Engineering Hub (IRJAEH), 2(02), 210-219. https://doi.org/10.47392/IRJAEH.2024.0034

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