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 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.

• | Author: O.A. Akanbi|I.S. Amiri|E. Fazeldehkordi
• | Publisher: Syngress
• | Publication Date: Dec 10, 2014
• | Number of Pages: 100 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 0128029277
• | ISBN-13: 9780128029275