"A machine learning approach to detection of JavaScript-based attacks using ..."

Samuel Ndichu et al. (2019)

> Home

Details and statistics

DOI: 10.1016/J.ASOC.2019.105721

access: open

type: Journal Article

metadata version: 2025-01-19

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/asc/NdichuKOMM19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/asc/NdichuKOMM19
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)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.