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Machine-Learning Approach to Phishing Detection and Defense

Machine-Learning Approach to Phishing Detection and Defense

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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 organizations who are seeking solutions to this long-standing threat. A Machine-Learning Approach to Phishing Detetion and Defense also provides information security researchers with a starting point for leveraging the machine algorithm approach as a solution to other information security threats.

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BrandSyngress
Pub dateDec 10, 2014
ISBN-100128029277
ISBN-139780128029275
LanguageEnglish
Dimensions9 × 0.23 × 6 in
Weight0 lb
Last updated 2026-04-24 22:27
$81.10
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Delivery by Monday, September 7, 2026
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