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Image-based Insider Threat Detection via Geometric Transformation
[article]
2021
arXiv
pre-print
Insider threat detection has been a challenging task over decades, existing approaches generally employ the traditional generative unsupervised learning methods to produce normal user behavior model and detect significant deviations as anomalies. However, such approaches are insufficient in precision and computational complexity. In this paper, we propose a novel insider threat detection method, Image-based Insider Threat Detector via Geometric Transformation (IGT), which converts the
arXiv:2108.10567v1
fatcat:w2lxxy4wxbhmrgmh5ahdv2g5ei