Computer Vision User Entity Behavior Analytics
release_34vqgevwj5a3nac7y6afifmq64
by
Sameer Khanna
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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