Computer Vision User Entity Behavior Analytics release_34vqgevwj5a3nac7y6afifmq64

by Sameer Khanna

Released as a article .

2021  

Abstract

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, generate high quality image encodings, and augment attack vectors for greater classification power. Combined, they form Computer Vision User and Entity Behavior Analytics, a detection system designed from the ground up to improve upon advancements in academia and mitigate the issues that prevent the usage of advanced models in industry. The proposed system beats state-of-art methods used in academia and as well as in industry.
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Type  article
Stage   submitted
Date   2021-11-25
Version   v1
Language   en ?
arXiv  2111.13176v1
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Revision: ffaba420-cba2-4e66-bf4e-0180544586ef
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