Abstract
This paper presents an overview of current needs on data provenance and data privacy, and discusses state-of-the-art results in this area. The paper highlights the difficulties that we need to face and finishes with some lines that require further work.
Cite
CITATION STYLE
APA
Torra, V., Navarro-Arribas, G., Sanchez-Charles, D., & Muntés-Mulero, V. (2017). Provenance and privacy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10571 LNAI, pp. 3–11). Springer Verlag. https://doi.org/10.1007/978-3-319-67422-3_1
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