A Machine-Learning Approach to Phishing Detection and Defense:
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 Det...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Saint Louis
Elsevier Science
2014
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| Schlagworte: | |
| Online-Zugang: | FAW01 |
| Zusammenfassung: | 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 attacksHelp your business or organization avoid costly damage from phishing sourcesGain insight into machine-learning strategies for facing a variety of information security threats |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (101 pages) |
| ISBN: | 9780128029466 9780128029275 |
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| indexdate | 2024-07-10T07:30:55Z |
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| isbn | 9780128029466 9780128029275 |
| language | English |
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| spelling | Amiri, I.S. Verfasser aut A Machine-Learning Approach to Phishing Detection and Defense Saint Louis Elsevier Science 2014 © 2015 1 online resource (101 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources 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 attacksHelp your business or organization avoid costly damage from phishing sourcesGain insight into machine-learning strategies for facing a variety of information security threats Computer networks -- Security measures Phishing Akanbi, O.A. Sonstige oth Fazeldehkordi, E. Sonstige oth Erscheint auch als Druck-Ausgabe Amiri, I S.. A Machine-Learning Approach to Phishing Detection and Defense |
| spellingShingle | Amiri, I.S A Machine-Learning Approach to Phishing Detection and Defense Computer networks -- Security measures Phishing |
| title | A Machine-Learning Approach to Phishing Detection and Defense |
| title_auth | A Machine-Learning Approach to Phishing Detection and Defense |
| title_exact_search | A Machine-Learning Approach to Phishing Detection and Defense |
| title_full | A Machine-Learning Approach to Phishing Detection and Defense |
| title_fullStr | A Machine-Learning Approach to Phishing Detection and Defense |
| title_full_unstemmed | A Machine-Learning Approach to Phishing Detection and Defense |
| title_short | A Machine-Learning Approach to Phishing Detection and Defense |
| title_sort | a machine learning approach to phishing detection and defense |
| topic | Computer networks -- Security measures Phishing |
| topic_facet | Computer networks -- Security measures Phishing |
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