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Revista Cubana de Ciencias Informáticas

On-line version ISSN 2227-1899


HERNANDEZ DOMINGUEZ, Antonio  and  BALUJA GARCIA, Walter. Main mechanisms for dealing with phishing in data networks. Rev cuba cienc informat [online]. 2021, vol.15, n.4, suppl.1, pp. 413-441.  Epub Dec 01, 2021. ISSN 2227-1899.

In recent years, various mechanisms have been used to detect phishing attacks. The role played by machine learning techniques has been significant, mainly because of the levels of effectiveness obtained in detecting these attacks. Regardless of the service in which they are developed, it is always possible to extract a set of features to identify when phishing is or is not taking place. The features can be extracted from various sources such as URLs, content shared through a website, a social network or simply an email message, search engine, digital certificate, network traffic, among others. The accuracy of the Ant Phishing solution depends on the feature set, training data and self-learning algorithm. This paper presents an updated analysis of machine learning methods and computational tools used to detect phishing attacks in networks.

Keywords : Phishing; Phishing Detection; Machine Learning; computational tools.

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