Can I read A Machine-Learning Approach to Phishing Detection and Defense on EtoBox?

A Machine-Learning Approach to Phishing Detection and Defense by Akanbi, Oluwatobi Ayodeji; Fazeldehkordi, Elahe; Amiri, Iraj Sadegh is a book available to read on EtoBox.

What is A Machine-Learning Approach to Phishing Detection and Defense about?

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. Discover novel research into the uses of machine-learning principles and algorithms to detect and prevent phishing attacks Help your business or organization avoid costly damage from phishing sources Gain insight into machine-learning strategies for facing a variety of information security threats

Author

Akanbi, Oluwatobi Ayodeji; Fazeldehkordi, Elahe; Amiri, Iraj Sadegh

Publisher

Syngress

Published

2014

Language

EN

ISBN

9780128029275

Subjects

Computer Science, Social Science, Stem