Ashish Gehani, Raza Ahmad, and Hassaan Irshad, SRI
Data provenance records may be rife with sensitive information. If such metadata is to be shared with others, it must be transformed to protect the privacy of parties whose activity is being reported. In general, this is a challenging task. It is further complicated by properties of provenance that facilitate drawing inferences about disparate portions of data sets. We consider aspects of the problem, describe strategies to address the identified issues, and share our implementation of configurable primitives for practical application of provenance privacy protection.
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author = {Ashish Gehani and Raza Ahmad and Hassaan Irshad},
title = {Practical Provenance Privacy Protection},
booktitle = {13th International Workshop on Theory and Practice of Provenance (TaPP 2021)},
year = {2021},
url = {https://www.usenix.org/conference/tapp2021/presentation/gehani},
publisher = {USENIX Association},
month = jul
}
