A Machine-Learning Approach to Phishing Detection and...

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Computers - Computer Science
A Machine-Learning Approach to Phishing...

A Machine-Learning Approach to Phishing Detection and Defense

Name: A Machine-Learning Approach to Phishing Detection and Defense
ISBN: 9780128029275

I.S. Amiri, O.A. Akanbi, E. Fazeldehkordi

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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.

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

种类:

Computers - Computer Science

年:

2014

出版:

出版社:

Syngress

语言:

english

页:

100

ISBN 10: