A machine-learning approach to phishing detection and defense [electronic resource] / Oluwatobi Ayodeji Akanbi, Iraj Sadegh Amiri, Elahe Fazeldehkordi.
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...
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Full Text (via ScienceDirect) |
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| Main Authors: | , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Amsterdam :
Elsevier,
[2014]
©2015. |
| Subjects: |
MARC
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| 100 | 1 | |a Akanbi, Oluwatobi Ayodeji, |e author. |0 http://id.loc.gov/authorities/names/no2015138635. | |
| 245 | 1 | 2 | |a A machine-learning approach to phishing detection and defense |h [electronic resource] / |c Oluwatobi Ayodeji Akanbi, Iraj Sadegh Amiri, Elahe Fazeldehkordi. |
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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. | ||
| 650 | 0 | |a Phishing. |0 http://id.loc.gov/authorities/subjects/sh2005003206. | |
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| 650 | 7 | |a Phishing. |2 fast |0 (OCoLC)fst01737436. | |
| 700 | 1 | |a Amiri, Iraj Sadegh, |d 1977- |e author. |0 http://id.loc.gov/authorities/names/no2014139790 |1 http://isni.org/isni/0000000440103661. | |
| 700 | 1 | |a Fazeldehkordi, Elahe, |e author. |0 http://id.loc.gov/authorities/names/no2015138607 |1 http://isni.org/isni/0000000455714019. | |
| 776 | 0 | 8 | |i Erscheint auch als: |n Druck-Ausgabe |t Amiri, I.S.A Machine-Learning Approach to Phishing Detection and Defense. |
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