A Machine-Learning Approach to Phishing Detection and Defense (Paperback) (ISBN-13: 9780128029275)

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,Iraj Sadegh Amiri,E. Fazeldehkordi
ISBN-10: 0128029277
ISBN-13: 9780128029275
Publisher: Syngress Publishing
Language: English
Published: 12/10/2014
Pages: 100
Format: Paperback
Weight: 0.32lbs
Size: 9.00h x 6.00w x 0.21d