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Using Color To Identify Insider Threats
[article]
2022
arXiv
pre-print
Insider threats are costly, hard to detect, and unfortunately rising in occurrence. Seeking to improve detection of such threats, we develop novel techniques to enable us to extract powerful features and augment attack vectors for greater classification power. Most importantly, we generate high quality color image encodings of user behavior that do not have the downsides of traditional greyscale image encodings. Combined, they form Computer Vision User and Entity Behavior Analytics, a detection
arXiv:2111.13176v3
fatcat:f5csesq2w5hqxczjjl3zy6zure