A Novel Framework for Learning to Detect Malicious Web Pages

@article{Tao2010ANF,
  title={A Novel Framework for Learning to Detect Malicious Web Pages},
  author={Wang Tao and Yu Shunzheng and Xie Bailin},
  journal={2010 International Forum on Information Technology and Applications},
  year={2010},
  volume={2},
  pages={353-357}
}
Malicious web pages are a widely-recognized threat to the security of the web. Malicious web pages launch so-called drive-by download attacks that are able to gain complete control of a user’s computer for illegitimate purpose. Even a single visit to a malicious web page enables an automatically download and installation of malicious malware executables. In this paper, we propose a novel approach for classifying web pages automatically as either malicious or benign based on a supervised machine… CONTINUE READING
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