Classification of malicious web code by machine learning

@article{Komiya2011ClassificationOM,
  title={Classification of malicious web code by machine learning},
  author={Ryohei Komiya and Incheon Paik and Masayuki Hisada},
  journal={2011 3rd International Conference on Awareness Science and Technology (iCAST)},
  year={2011},
  pages={406-411}
}
Web applications make life more convenient through on the activities. Many web applications have several kind of user input (e.g. personal information, a user's comment of commercial goods, etc.) for the activities. However, there are various vulnerabilities in input functions of web applications. It is possible to try malicious actions using free accessibility of the web applications. The attacks by exploitation of these input vulnerabilities enable to be performed by injecting malicious web… CONTINUE READING
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