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Erschienen in:
Enabling Technologies of Industry 4.0 and Their Global Forerunners: An Empirical Study of the Web of Science Database Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Webpages Classification with Phishing Content Using Naive Bayes Algorithm

verfasst von : Jorge Enrique Rodríguez Rodríguez, Víctor Hugo Medina García, Nelson Pérez Castillo

Erschienen in: Knowledge Management in Organizations

Verlag: Springer International Publishing

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Abstract

Phishing attacks cause people to be scammed and cheated because of the impossibility to visually detect fraudulent websites. As is known, the attack occurs from emails sent to collect or update information supposedly from an entity, there are also cases of phone calls or instant messages. There is ignorance of such attacks by people in general, which means that the user is not alerted, which means that he is not attentive to the digital certificates present on the page that authenticate the content of the same. For this reason, the web pages designed have required tools that counteract and alert the user of the “phished” webpages, which commit the theft of money from the account from which information has been provided.

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Vorheriges Kapitel The SECI Model in Moroccan Context: A Case Study of Payment Solution Software Sector
Nächstes Kapitel Artificial Intelligence Tool Penetration in Business: Adoption, Challenges and Fears
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Metadaten
Titel
Webpages Classification with Phishing Content Using Naive Bayes Algorithm
verfasst von
Jorge Enrique Rodríguez Rodríguez
Víctor Hugo Medina García
Nelson Pérez Castillo
Copyright-Jahr
2019
Buch
Knowledge Management in Organizations

Print ISBN: 978-3-030-21450-0

Electronic ISBN: 978-3-030-21451-7

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-21451-7_21