A Machine-Learning Approach to Phishing Detection and Defense (Paperback)

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.

General

Imprint:	Syngress Media,U.S.
Country of origin:	United States
Release date:	December 2014
First published:	2015
Authors:	O. A. Akanbi • I.S. Dr. Amiri • E. Fazeldehkordi
Dimensions:	229 x 152 x 12mm (L x W x T)
Format:	Paperback
Pages:	100
ISBN-13:	978-0-12-802927-5
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	0-12-802927-7
Barcode:	9780128029275

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