Visible to the public A Dynamic Updating Method for Release of Privacy Protected Data Based on Privacy Differences in Relational Data

TitleA Dynamic Updating Method for Release of Privacy Protected Data Based on Privacy Differences in Relational Data
Publication TypeConference Paper
Year of Publication2020
AuthorsYu, Y., Li, H., Fu, Y., Wu, X.
Conference Name2020 International Conference on Computer Information and Big Data Applications (CIBDA)
Date PublishedApril 2020
PublisherIEEE
ISBN Number978-1-7281-9837-8
Keywordsbig data privacy, data privacy, data release, data updating efficiency, dynamic updating, dynamic updating method, Human Behavior, Metrics, MSB, multidimensional sensitive attribute, multidimensional sensitivity attribute privacy differences, multisensitive bucketization technology, privacy protected data release, privacy protection, privacy protection data release, pubcrawl, relational data, relational databases, resilience, Resiliency, Scalability
Abstract

To improve dynamic updating of privacy protected data release caused by multidimensional sensitivity attribute privacy differences in relational data, we propose a dynamic updating method for privacy protection data release based on the multidimensional privacy differences. By adopting the multi-sensitive bucketization technology (MSB), this method performs quantitative classification of the multidimensional sensitive privacy difference and the recorded value, provides the basic updating operation unit, and thereby realizes dynamic updating of privacy protection data release based on the privacy difference among relational data. The experiment confirms that the method can secure the data updating efficiency while ensuring the quality of data release.

URLhttps://ieeexplore.ieee.org/document/9148498
DOI10.1109/CIBDA50819.2020.00014
Citation Keyyu_dynamic_2020