FLIP: A Utility Preserving Privacy Mechanism for Time Series

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dc.contributor.authorMcElroy, Tucker
dc.contributor.authorRoy, Anindya
dc.contributor.authorHore, Gaurab
dc.date.accessioned2022-08-02T21:11:18Z
dc.date.available2022-08-02T21:11:18Z
dc.date.issued2022-07-15
dc.description.abstractGuaranteeing privacy in released data is an important goal for data-producing agencies. There has been extensive research on developing suitable privacy mechanisms in recent years. Particularly notable is the idea of noise addition with the guarantee of differential privacy. There are, however, concerns about compromising data utility when very stringent privacy mechanisms are applied. Such compromises can be quite stark in correlated data, such as time series data. Adding white noise to a stochastic process may significantly change the correlation structure, a facet of the process that is essential to optimal prediction. We propose the use of all-pass filtering as a privacy mechanism for regularly sampled time series data, showing that this procedure preserves utility while also providing sufficient privacy guarantees to entity-level time series.en_US
dc.description.urihttps://arxiv.org/abs/2207.07721en_US
dc.format.extent19 pagesen_US
dc.genrejournal articlesen_US
dc.genrepreprintsen_US
dc.identifierdoi:10.13016/m21cwp-uxih
dc.identifier.urihttps://doi.org/10.48550/arXiv.2207.07721
dc.identifier.urihttp://hdl.handle.net/11603/25273
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleFLIP: A Utility Preserving Privacy Mechanism for Time Seriesen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0001-6361-8295en_US

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