A Survey on Phishing URL Detection Using Artificial Intelligence

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Abstract

Nowadays, a cyberattack is one of the most common security threats. The attackers generally try to steal confidential information using social engineering platforms. With the evolution of the internet in the last few years, phishing has also rapidly grown on the internet. By phishing, Internet users have a financial loss of billions of dollars per year. Phishing is a social engineering attack used to identify and steal the victim’s personal information; it is generally done by e-mail, text messages, website spoofing, etc. Attackers send some attractive messages to the victims to misguide him/her and perform an attack, by using traditional methods; we cannot mitigate the ratio of the phishing attack. So, the researcher’s focus on moving from the conventional approach to machine learning techniques to secure the use of the internet.

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Vadariya, A., & Jadav, N. K. (2021). A Survey on Phishing URL Detection Using Artificial Intelligence. In Advances in Intelligent Systems and Computing (Vol. 1245, pp. 9–20). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-7234-0_2

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