137,27 €
171,59 €
A Machine-Learning Approach to Phishing Detection and Defense
A Machine-Learning Approach to Phishing Detection and Defense
137,27 €
171,59 €
  • Išsiųsime per 10–14 d.d.
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…
137.27 2025-06-29 23:59:00
  • Autorius: O a Akanbi
  • Leidėjas:
  • ISBN-10: 0128029277
  • ISBN-13: 9780128029275
  • Formatas: 15.2 x 22.9 x 0.5 cm, minkšti viršeliai
  • Kalba: Anglų
  • Extra -20 % nuolaida šiai knygai su kodu ENG20

A Machine-Learning Approach to Phishing Detection and Defense + nemokamas atvežimas! | knygos.lt

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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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137,27 €
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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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