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171,59 €
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A Machine-Learning Approach to Phishing Detection and Defense
A Machine-Learning Approach to Phishing Detection and Defense
154,43
171,59 €
  • We will send in 10–14 business days.
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 informa…
171.59
  • Publisher:
  • ISBN-10: 0128029277
  • ISBN-13: 9780128029275
  • Format: 15.2 x 22.9 x 0.5 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

A Machine-Learning Approach to Phishing Detection and Defense (e-book) (used book) | bookbook.eu

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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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  • Author: O a Akanbi
  • Publisher:
  • ISBN-10: 0128029277
  • ISBN-13: 9780128029275
  • Format: 15.2 x 22.9 x 0.5 cm, minkšti viršeliai
  • Language: English English

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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