Enhancing predictive analytics for anti-phishing by exploiting website genre information
Ahmed Abbasi, Fatemeh "Mariam" Zahedi, Daniel Zeng, Yan Chen, Hsinchun Chen ...
| Year of publication: |
2015
|
|---|---|
| Authors: | Abbasi, Ahmed ; Zahedi, Fatemeh Mariam ; Zeng, Daniel ; Chen, Yan ; Chen, Hsinchun |
| Published in: |
Journal of management information systems : JMIS. - Philadelphia, PA : Taylor & Francis Group, LLC, ISSN 0742-1222, ZDB-ID 883127-0. - Vol. 31.2014/2015, 4, p. 109-157
|
| Subject: | design science | data mining | phishing websites | genre theory | Internet fraud | website genres | credibility assessment | phishing | Website | Data Mining | Data mining | Internet | Online-Marketing | Internet marketing |
| Extent: | graph. Darst. |
|---|---|
| Type of publication: | Article |
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011385715