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:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Elsevier
[2014]
|
| Schlagworte: | |
| Online-Zugang: | FLA01 Volltext |
| 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 |
| Beschreibung: | Includes bibliographical references |
| Beschreibung: | 1 online resource |
| ISBN: | 1322480850 9781322480855 9780128029466 0128029463 |
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| 520 | |a 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 | Akanbi, Oluwatobi Ayodeji Amiri, Iraj Sadegh 1977- Fazeldehkordi, Elahe |
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| dewey-sort | 3364.168 |
| dewey-tens | 360 - Social problems and services; associations |
| discipline | Rechtswissenschaft |
| format | Electronic eBook |
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| id | DE-604.BV046126736 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:35:54Z |
| institution | BVB |
| isbn | 1322480850 9781322480855 9780128029466 0128029463 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031507190 |
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| publishDate | 2014 |
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| publisher | Elsevier |
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| spelling | Akanbi, Oluwatobi Ayodeji Verfasser aut A machine-learning approach to phishing detection and defense Oluwatobi Ayodeji Akanbi, Iraj Sadegh Amiri, Elahe Fazeldehkordi Amsterdam Elsevier [2014] © 2015 1 online resource txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references 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 SOCIAL SCIENCE / Criminology bisacsh Computer networks / Security measures fast Phishing fast Phishing Computer networks Security measures Amiri, Iraj Sadegh 1977- aut Fazeldehkordi, Elahe aut Erscheint auch als Druck-Ausgabe 9780128029275 http://www.sciencedirect.com/science/book/9780128029275 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Akanbi, Oluwatobi Ayodeji Amiri, Iraj Sadegh 1977- Fazeldehkordi, Elahe A machine-learning approach to phishing detection and defense SOCIAL SCIENCE / Criminology bisacsh Computer networks / Security measures fast Phishing fast Phishing Computer networks Security measures |
| 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 Oluwatobi Ayodeji Akanbi, Iraj Sadegh Amiri, Elahe Fazeldehkordi |
| title_fullStr | A machine-learning approach to phishing detection and defense Oluwatobi Ayodeji Akanbi, Iraj Sadegh Amiri, Elahe Fazeldehkordi |
| title_full_unstemmed | A machine-learning approach to phishing detection and defense Oluwatobi Ayodeji Akanbi, Iraj Sadegh Amiri, Elahe Fazeldehkordi |
| title_short | A machine-learning approach to phishing detection and defense |
| title_sort | a machine learning approach to phishing detection and defense |
| topic | SOCIAL SCIENCE / Criminology bisacsh Computer networks / Security measures fast Phishing fast Phishing Computer networks Security measures |
| topic_facet | SOCIAL SCIENCE / Criminology Computer networks / Security measures Phishing Computer networks Security measures |
| url | http://www.sciencedirect.com/science/book/9780128029275 |
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