A Machine-Learning Approach to Phishing Detection and Defense Paperback / softback
by O.A. (Graduate student in Computer Science at Texas Tech University) Akanbi, Iraj Sadegh Amiri, E. (Information Security researcher) Fazeldehkordi
Paperback / softback
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 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.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:100 pages, 10 illustrations; Illustrations, unspecified
- Publisher:Syngress Media,U.S.
- Publication Date:08/12/2014
- Category:
- ISBN:9780128029275
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:100 pages, 10 illustrations; Illustrations, unspecified
- Publisher:Syngress Media,U.S.
- Publication Date:08/12/2014
- Category:
- ISBN:9780128029275