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:
- Englisch
- Veröffentlicht:
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Waltham, Massachusetts :
Syngress,
2015.
- Ausgabe:
- 1st edition
- Zusammenfassung:
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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 organiza
- Umfang:
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1 online resource (101 p.)
text file - Anmerkungen:
- Description based upon print version of record.
- Anmerkungen:
- English
- Bibliografie:
- Includes bibliographical references.
- ISBN:
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9780128029466
0128029463 - Schlagworte:
- Bezugswerke:
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Parallelausgabe: 9780128029275Parallelausgabe: 0128029277Parallelausgabe: 9781322480855Parallelausgabe: 1322480850
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