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Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities
[article]
2020
arXiv
pre-print
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
arXiv:2005.12433v1
fatcat:bmmog7g47vfmpmzdvd4tqd5v7u