Fraudulent e-Commerce website detection model using HTML, text and image features
Many of Internet users have been the victims of fraudulent e-commerce websites and the number grows. This paper presents an investigation on three types of features namely HTML tags, textual content and image of the website that could possibly contain some patterns that indicate it is fraudulent. Fo...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/94157/ http://dx.doi.org/10.1007/978-3-030-49345-5_19 |
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| Institution: | Universiti Teknologi Malaysia |