A Machine-Learning Approach to Phishing Detection and Defense
Overview
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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Details
- ISBN-13: 9780128029275
- ISBN-10: 0128029277
- Publisher: Syngress Publishing
- Publish Date: December 2014
- Dimensions: 9 x 6 x 0.21 inches
- Shipping Weight: 0.32 pounds
- Page Count: 100
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