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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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A Machine-Learning Approach to Phishing Detection and Defense (Paperback) Loot Price: R1,349
Discovery Miles 13 490
A Machine-Learning Approach to Phishing Detection and Defense (Paperback): O. A. Akanbi, I.S. Dr. Amiri, E. Fazeldehkordi

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

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

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Loot Price R1,349 Discovery Miles 13 490 | Repayment Terms: R126 pm x 12*

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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.

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
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LSN: 0-12-802927-7
Barcode: 9780128029275

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