A deep learning approach for detecting malicious JavaScript code

@article{Wang2016ADL,
  title={A deep learning approach for detecting malicious JavaScript code},
  author={Yao Wang and Wan-Dong Cai and Pengcheng Wei},
  journal={Security and Communication Networks},
  year={2016},
  volume={9},
  pages={1520-1534}
}
Malicious JavaScript code in webpages on the Internet is an emergent security issue because of its universality and potentially severe impact. Because of its obfuscation and complexities, detecting it has a considerable cost. Over the last few years, several machine learning-based detection approaches have been proposed; most of them use shallow discriminating models with features that are constructed with artificial rules. However, with the advent of the big data era for information… CONTINUE READING

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