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A privacy-aware visual query approach for location-based data.
- Source :
-
Computers & Graphics . Oct2023, Vol. 115, p263-273. 11p. - Publication Year :
- 2023
-
Abstract
- Visual querying of location-based data assists users in expressing query requirements, investigating query results and making inferences. However, directly accessing data records exposes individual location information and may cause privacy issues. Conventional aggregation-based methods can preserve location-relevant privacy but may lead to the loss of detailed information and failure of analysis. Visualization aids users in gaining a deeper comprehension of the query process and the variation of information concerning privacy-preservation. In this paper, we present a privacy-aware visual query approach for location-based data. We propose a graph-based privacy-preserving scheme to protect location privacy in the visualization, and two visual metaphors to enhance understandings of information-variation in the privacy-preserving process. We design and implement a visual interface that supports a progressive process of query conditions specification and query results exploration. Experiments on real-world urban datasets demonstrate that our approach is capable of making a fair balance between location privacy and data analysis. [Display omitted] • Directly query location data may lead to privacy issues. • Anonymizing data preserves data privacy but limits data utility. • Graph-based anonymization sanitizes data privacy effectively and dynamically. • Interactive visual query interface enables a fair balance between privacy and utility. [ABSTRACT FROM AUTHOR]
- Subjects :
- *DATA privacy
*LOCATION data
*PRIVACY
*DATA visualization
*DATA analysis
Subjects
Details
- Language :
- English
- ISSN :
- 00978493
- Volume :
- 115
- Database :
- Academic Search Index
- Journal :
- Computers & Graphics
- Publication Type :
- Academic Journal
- Accession number :
- 173725204
- Full Text :
- https://doi.org/10.1016/j.cag.2023.07.031