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Peer-group Behaviour Analytics of Windows Authentications Events Using Hierarchical Bayesian Modelling. (arXiv:2209.09769v1 [cs.CR])
Sept. 21, 2022, 1:20 a.m. | Iwona Hawryluk, Henrique Hoeltgebaum, Cole Sodja, Tyler Lalicker, Joshua Neil
cs.CR updates on arXiv.org arxiv.org
Cyber-security analysts face an increasingly large number of alerts received
on any given day. This is mainly due to the low precision of many existing
methods to detect threats, producing a substantial number of false positives.
Usually, several signature-based and statistical anomaly detectors are
implemented within a computer network to detect threats. Recent efforts in User
and Entity Behaviour Analytics modelling shed a light on how to reduce the
burden on Security Operations Centre analysts through a better understanding of …
More from arxiv.org / cs.CR updates on arXiv.org
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