• DocumentCode
    622751
  • Title

    The Probabilistic Provenance Graph

  • Author

    Idika, Nwokedi ; Varia, Mayank ; PHAN, HUY ANH

  • fYear
    2013
  • fDate
    23-24 May 2013
  • Firstpage
    34
  • Lastpage
    41
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security and Privacy Workshops (SPW), 2013 IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4799-0458-7
  • Type

    conf

  • DOI
    10.1109/SPW.2013.27
  • Filename
    6565226