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2013 IEEE CS Security and Privacy Workshops (SPW2013)
San Francisco, CA USA
May 23-May 24
ISBN: 978-1-4799-0458-7
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.
Index Terms:
Electronic mail,Uncertainty,Bayes methods,Probabilistic logic,Security,Time division multiplexing,Data models,linguistics,provenance,graphs,trust
Citation:
Nwokedi Idika, Mayank Varia, Harry Phan, "The Probabilistic Provenance Graph," spw, pp.34-41, 2013 IEEE CS Security and Privacy Workshops (SPW2013), 2013
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