A Machine-Learning Approach to Phishing Detection and Defense
  • Release Date : 08 December 2014
  • Publisher : Syngress Publishing
  • Genre : Computers
  • Pages : 100 pages
  • ISBN 13 : 0128029277
Ratings: 4
From 235 Voters
Get This Book

Download or read book entitled A Machine-Learning Approach to Phishing Detection and Defense by author: I. S. Amiri which was release on 08 December 2014 and published by Syngress Publishing with total page 100 pages . This book available in PDF, EPUB and Kindle 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

Frontier Computing

Frontier Computing

Author : Jason C. Hung,Neil Y. Yen,Jia-Wei Chang
Publisher : Springer Nature
Genre : Technology & Engineering
Get Book