Corpus ID: 218889471

Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities

@article{Yuan2020DeepLF,
  title={Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities},
  author={S. Yuan and Xintao Wu},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.12433}
}
  • S. Yuan, Xintao Wu
  • Published 2020
  • Computer Science
  • ArXiv
  • Insider threats, as one type of the most challenging threats in cyberspace, usually cause significant loss to organizations. While the problem of insider threat detection has been studied for a long time in both security and data mining communities, the traditional machine learning based detection approaches, which heavily rely on feature engineering, are hard to accurately capture the behavior difference between insiders and normal users due to various challenges related to the characteristics… CONTINUE READING

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