Title :
The Probabilistic Provenance Graph
Author :
Idika, Nwokedi ; Varia, Mayank ; PHAN, HUY ANH
Abstract :
Previous provenance models have assumed that there is complete certainty in the provenance relationships. But what if this assumption does not hold? In this work, emaiwe propose a probabilistic provenance graph (PPG) model to characterize scenarios where provenance relationships are uncertain. We describe two motivating examples. The first example demonstrates the uncertainty associated with the provenance of an email. The second example demonstrates and characterizes the uncertainty associated with the provenance of statements in documents.
Keywords :
document handling; electronic mail; graph theory; probability; PPG model; documents; email provenance; probabilistic provenance graph; provenance relationships; statement provenance; uncertainty characterization; Bayes methods; Data models; Electronic mail; Probabilistic logic; Security; Time division multiplexing; Uncertainty; graphs; linguistics; provenance; trust;
Conference_Titel :
Security and Privacy Workshops (SPW), 2013 IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4799-0458-7
DOI :
10.1109/SPW.2013.27