A Machine-Learning Approach to Phishing Detection and Defense Paperback

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

  • 出版商: Syngress Media
  • 出版日期: 2014-12-10
  • 售價: $2,140
  • 貴賓價: 9.5$2,033
  • 語言: 英文
  • 頁數: 100
  • 裝訂: Paperback
  • ISBN: 0128029277
  • ISBN-13: 9780128029275
  • 下單後立即進貨 (約2~3週)

商品描述

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