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...
Main Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
Waltham, MA
Syngress
2015
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Subjects: | |
Online Access: | |
Collection: | O'Reilly - Collection details see MPG.ReNa |
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 |
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Physical Description: | 1 volume illustrations |
ISBN: | 9780128029466 |