Email Phishing Filtering TechniqueS

Abstract

One of the biggest issues with the Internet today is phishing emails, which can be both frustrating and costly for businesses and customers. There are several methods for identifying and blocking phishing emails, but none of them are entirely effective. This article provides a comprehensive overview of the present level of knowledge on these types of assaults. This study is the first large-scale examination of how to prevent phishing emails. Provide a survey of the current methods used to identify phishing emails at various points in the attack lifecycle, with an emphasis on machine learning approaches. These filtering strategies are analyzed and compared with one another. This sheds light on the nature of the issue, the range of possible solutions, and the likely future of research.