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{ "item_title" : "A Machine-Learning Approach to Phishing Detection and Defense", "item_author" : [" O. a. Akanbi", "Iraj Sadegh Amiri", "E. Fazeldehkordi "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/12/802/927/0128029277_b.jpg", "price_data" : { "retail_price" : "69.95", "online_price" : "69.95", "our_price" : "69.95", "club_price" : "69.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
A Machine-Learning Approach to Phishing Detection and Defense|O. a. Akanbi

A Machine-Learning Approach to Phishing Detection and Defense

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Overview

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.

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Details

  • ISBN-13: 9780128029275
  • ISBN-10: 0128029277
  • Publisher: Syngress Publishing
  • Publish Date: December 2014
  • Dimensions: 9 x 6 x 0.21 inches
  • Shipping Weight: 0.32 pounds
  • Page Count: 100

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