A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors

Samuel Ndichu, Sangwook Kim, Seiichi Ozawa, Takeshi Misu, Kazuo Makishima. A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors. Appl. Soft Comput., 84, 2019. [doi]

@article{NdichuKOMM19,
  title = {A machine learning approach to detection of JavaScript-based attacks using AST features and paragraph vectors},
  author = {Samuel Ndichu and Sangwook Kim and Seiichi Ozawa and Takeshi Misu and Kazuo Makishima},
  year = {2019},
  doi = {10.1016/j.asoc.2019.105721},
  url = {https://doi.org/10.1016/j.asoc.2019.105721},
  researchr = {https://researchr.org/publication/NdichuKOMM19},
  cites = {0},
  citedby = {0},
  journal = {Appl. Soft Comput.},
  volume = {84},
}