ELSEVIER A MACHINE LEARNING APPROACH TO PHISHING DETECTION AND DEFENSE 1ST EDITION 2014 RETAIL EPUB EBOOK-kE
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Torrent File Content (3 files)
ELSEVIER.A.MACHINE.LEARNING.APPROACH.TO.PHISHING.DETECTION.AND.DEFENSE.1ST.EDITION.2014.RETAIL.EPUB.EBOOK-kE
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Description
TITLE: A MACHINE-LEARNING APPROACH TO PHISHING DETECTION AND
DEFENSE, 1ST EDITION
PUBLISHER: ELSEVIER LANGUAGE: ENGLISH
LINK: http://is.gd/2ccIWs RELEASE TYPE: RETAIL
FORMAT: EPUB RELEASE DATE: 2015.02.07
ISBN: 9780128029466 STORE DATE: 2014
SAVED.MONEY: 51 DOLLAR DISKCOUNT: 01 x 05MB
AUTHOR: I.S. AMIRI, O.A. AKANBI, E. FAZELDEHKORDI
BOOK
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
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