Research issues in data provenance for streaming environments

Authors:
Hyo-Sang Lim;Yang-Sae Moon;Elisa Bertino
Affiliations:
Purdue University;Kangwon National University, South Korea;Purdue University
Venue:
Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS
Year:
2009

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Abstract

In this paper, we discuss research issues concerning data provenance for streaming environments. In data streams, especially in sensor networks, data provenance is a key information for assessing data quality since it gives important evidence about the origin of the data. We first show our initial approach for assessing trust scores of streaming data based on provenance. We then discuss open researches issues about using and delivering provenance in data streams.