A Machine-Learning Approach to Phishing Detection and Defense - Brossura

Amiri, Iraj Sadegh; Akanbi, O.A.; Fazeldehkordi, E.

Brossura

ISBN 10: 0128029277 ISBN 13: 9780128029275

Casa editrice: Syngress, 2014

Riassunto

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.

Su questo libro

L'autore:

Dr. Iraj Sadegh Amiri received his B. Sc (Applied Physics) from Public University of Urmia, Iran in 2001 and a gold medalist M. Sc. in optics from University Technology Malaysia (UTM), in 2009. He was awarded a PhD degree in photonics in Jan 2014. He has published well over 350 academic publications since the 2012s in optical soliton communications, laser physics, photonics, optics and nanotechnology engineering. Currently he is a senior lecturer in University of Malaysia (UM), Kuala Lumpur, Malaysia.

Su questa edizione

• Editore: Syngress
• Data di pubblicazione: 2014
• ISBN 10: 0128029277
• ISBN 13: 9780128029275
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 100