Akanbi, Oluwatobi Ayodeji

Machine learning approach to phishing detection and defense - Amsterdam : Syngress, 2015. - xiv, 84p. : ill. ; 24 cm.

Includes bibliographical references.

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.

9780128029275


Phishing
Social Science - Criminology
Computer networks - Security measures

364.168 / AKA

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