bokomslag Machine-Learning Approach to Phishing Detection and Defense
Data & IT

Machine-Learning Approach to Phishing Detection and Defense

O A Akanbi Iraj Sadegh Amiri E Fazeldehkordi

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  • 2014
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.
  • Författare: O A Akanbi, Iraj Sadegh Amiri, E Fazeldehkordi
  • Format: Pocket/Paperback
  • ISBN: 9780128029275
  • Språk: Engelska
  • Utgivningsdatum: 2014-12-08
  • Förlag: Syngress Media,U.S.