A machine learning approach to phishing detection and defense
(eBook)

Book Cover
Average Rating
Published
Waltham, MA : Syngress, [2015].
ISBN
9780128029466, 0128029463
Physical Desc
1 online resource (1 volume) : illustrations
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Format
eBook
Language
English

Notes

Bibliography
Includes bibliographical references.
Description
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 organiza.
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O'Reilly,O'Reilly Online Learning Platform: Academic Edition (EZproxy Access)

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Citations

APA Citation, 7th Edition (style guide)

Akanbi, O. A., Amiri, I. S., & Fazeldehkordi, E. (2015). A machine learning approach to phishing detection and defense . Syngress.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Akanbi, Oluwatobi Ayodeji, Iraj Sadegh Amiri and Elahe, Fazeldehkordi. 2015. A Machine Learning Approach to Phishing Detection and Defense. Syngress.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Akanbi, Oluwatobi Ayodeji, Iraj Sadegh Amiri and Elahe, Fazeldehkordi. A Machine Learning Approach to Phishing Detection and Defense Syngress, 2015.

MLA Citation, 9th Edition (style guide)

Akanbi, Oluwatobi Ayodeji,, Iraj Sadegh Amiri, and Elahe Fazeldehkordi. A Machine Learning Approach to Phishing Detection and Defense Syngress, 2015.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.