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 Det...

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Bibliographic Details
Main Authors: Akanbi, Oluwatobi Ayodeji (Author), Amiri, Iraj Sadegh, 1977- (Author), Fazeldehkordi, Elahe (Author)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: Amsterdam : Elsevier, [2014]
©2015
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary: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.
Physical Description:1 online resource
Bibliography:Includes bibliographical references.
ISBN:1322480850
9781322480855
9780128029466
0128029463