A Machine-Learning Approach to Phishing Detection and Defense

Language: English

Published by Syngress Media,U.S., US, 2014

0128029277 / 9780128029275

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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.

Seller Inventory # LU-9780128029275

Title
A Machine-Learning Approach to Phishing Detection and Defense
Author
O.A. Akanbi, Iraj Sadegh Amiri, E. Fazeldehkordi
Publisher
Syngress Media,U.S., US
Publication year
2014
Condition
New
Binding
Paperback
Language
English
ISBN 10
0128029277
ISBN 13
9780128029275
Item weight
160 grams

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