A machine learning approach to phishing detection and defense

Phishing is one of the most widely-perpetrated forms of cyber attack, used to gather sensitive information such as credit card numbers, bank account numbers, and user logins and passwords, as well as other information entered via a web site. The authors of A Machine-Learning Approach to Phishing Det...

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Bibliographic Details
Main Authors: Akanbi, Oluwatobi Ayodeji, Amiri, Iraj Sadegh (Author), Fazeldehkordi, Elahe (Author)
Format: eBook
Language:English
Published: Waltham, MA Syngress 2015
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:Phishing is one of the most widely-perpetrated forms of cyber attack, used to gather sensitive information such as credit card numbers, bank account numbers, and user logins and passwords, as well as other information entered via a web site. The authors of A Machine-Learning Approach to Phishing Detetion and Defense have conducted research to demonstrate how a machine learning algorithm can be used as an effective and efficient tool in detecting phishing websites and designating them as information security threats. This methodology can prove useful to a wide variety of businesses and organiza
Physical Description:1 volume illustrations
ISBN:9780128029466