Content based fraudulent website detection using supervised machine learning techniques
Fraudulent websites pose as legitimate sources of information, goods, product and services are propagating and resulted in loss of billions of dollars. Due to several undesirable impacts of Internet fraud and scam, several studies and approaches are focused to identify fraudulent Internet websites,...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/81884/ http://dx.doi.org/10.1007/978-3-319-76351-4_30 |
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