A Machine Learning Approach to Phishing Detection and Defense
  • Release Date : 05 December 2014
  • Publisher : Syngress
  • Categories : Computers
  • Pages : 100 pages
  • ISBN 13 : 9780128029466
  • ISBN 10 : 0128029463
Score: 4
From 245 Ratings
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Synopsis : A Machine Learning Approach to Phishing Detection and Defense written by Iraj Sadegh Amiri, published by Syngress which was released on 05 December 2014. Download A Machine Learning Approach to Phishing Detection and Defense Books now! Available in PDF, EPUB, Mobi Format. 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. Discover novel research into the uses of machine-learning principles and algorithms to detect and prevent phishing attacks Help your business or organization avoid costly damage from phishing sources Gain insight into machine-learning strategies for facing a variety of information security threats