16 citations · 28 across the 5 of their papers we have counts for
Showing 2017 · cs.CRShow all
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cs.CR2017
Using Markov Models and Statistics to Learn, Extract, Fuse, and Detect Patterns in Raw Data
Richard R. Brooks, Lu Yu, Yu Fu +3
Many systems are partially stochastic in nature. We have derived data driven approaches for extracting stochastic state machines (Markov models) directly from observed data. This c…
cs.CR2017★ 2 cited
Provenance Threat Modeling
Oluwakemi Hambolu, Lu Yu, Jon Oakley +3
Provenance systems are used to capture history metadata, applications include ownership attribution and determining the quality of a particular data set. Provenance systems are als…