16 citations · 28 across the 5 of their papers we have counts for
6 papers
Scrybe: A Secure Audit Trail for Clinical Trial Data Fusion
Jon Oakley, Carl Worley, Lu Yu +4
Clinical trials are a multi-billion dollar industry. One of the biggest challenges facing the clinical trial research community is satisfying Part 11 of Title 21 of the Code of Fed…
Protocol Proxy: An FTE-based Covert Channel
Jonathan Oakley, Lu Yu, Xingsi Zhong +2
In a hostile network environment, users must communicate without being detected. This involves blending in with the existing traffic. In some cases, a higher degree of secrecy is r…
Privacy Preserving Count Statistics
Lu Yu, Oluwakemi Hambolu, Yu Fu +2
The ability to preserve user privacy and anonymity is important. One of the safest ways to maintain privacy is to avoid storing personally identifiable information (PII), which pos…
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…
TARN: A SDN-based Traffic Analysis Resistant Network Architecture
Lu Yu, Qing Wang, Geddings Barrineau +3
Destination IP prefix-based routing protocols are core to Internet routing today. Internet autonomous systems (AS) possess fixed IP prefixes, while packets carry the intended desti…
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…