Development of Machine Learning Based Fraudulent Website Detection Scheme
Author:
Affiliation:
1. Tunghai University,Department of Computer Science,Taichung City,Taiwan
2. Chinese Culture University,Department of Applied Mathematics,Taipei,Taiwan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9983535/9983517/09983523.pdf?arnumber=9983523
Reference8 articles.
1. Application of machine learning to identify Counterfeit Website
2. Learning to detect and measure fake ecommerce websites in search-engine results
3. Exploratory experiments to Exploratory experiments to identify fraudulent websites by using features from the network stack;koepke;2012 IEEE International Conference on Intelligence and Security Informatics,0
4. Multi-column Deep Neural.Networks for Image Classification;cire?an;2012 IEEE Conference on Computer Vision Deep neural networks for object detection,0
5. The E-Commerce Market for "Lemons"
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