156 citations · 186 across the 8 of their papers we have counts for
8 papers
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning
Maya Kapoor, Joshua Melton, Michael Ridenhour +3
Complex heterogeneous dynamic networks like knowledge graphs are powerful constructs that can be used in modeling data provenance from computer systems. From a security perspective…
Detecting Safety and Security Faults in PLC Systems with Data Provenance
Abdullah Al Farooq, Jessica Marquard, Kripa George +1
Programmable Logic Controllers are an integral component for managing many different industrial processes (e.g., smart building management, power generation, water and wastewater m…
IoTC2: A Formal Method Approach for Detecting Conflicts in Large Scale IoT Systems
Abdullah Al Farooq, Ehab Al-Shaer, Thomas Moyer +1
Internet of Things (IoT) has become a common paradigm for different domains such as health care, transportation infrastructure, smart home, smart shopping, and e-commerce. With its…
Runtime Analysis of Whole-System Provenance
Thomas Pasquier, Xueyuan Han, Thomas Moyer +5
Identifying the root cause and impact of a system intrusion remains a foundational challenge in computer security. Digital provenance provides a detailed history of the flow of inf…
Curator: Provenance Management for Modern Distributed Systems
Warren Smith, Thomas Moyer, Charles Munson
Data provenance is a valuable tool for protecting and troubleshooting distributed systems. Careful design of the provenance components reduces the impact on the design, implementat…
Practical Whole-System Provenance Capture
Thomas Pasquier, Xueyuan Han, Mark Goldstein +4
Data provenance describes how data came to be in its present form. It includes data sources and the transformations that have been applied to them. Data provenance has many uses, f…