Location privacy models in mobile applications: Conceptual view and research directions
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We recently observe a growing interest in data privacy, especially related to location-aware applications.
“We recently observe a growing interest in data privacy, especially related to location-aware applications [133].”
From Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience (2016) · cites this paper as [133]
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Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience
Degbelo, A., Granell, C., Trilles, S., Bhattacharya, D., Casteleyn, S., & Kray, C. (2016) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi5020016 · Cited by 166 · see citing works
- Authors
- Damiani, M. L.
- Affiliations
- University of Milan (IT)
- Corresponding author
- Damiani, Maria Luisa
- ORCID
- Damiani, Maria Luisa
- Venue
- GeoInformatica
- Published
- 2014-03-13
- Volume
- 18
- Issue
- 4
- Pages
- 819-842
- ISSN
- 1384-6175 (ISSN-L)
- 1573-7624
- OpenAlex
- W1980001132
- Cited by
- 34
- References
- 59
- Citations by year
- 2023: 2 · 2022: 2 · 2021: 3 · 2020: 3 · 2019: 4 · 2018: 5 · 2017: 7 · 2016: 5 · 2015: 2 · 2014: 1
- FWCI
- 4.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- GeoInformatica (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Keywords
- location privacy, privacy models, application model, privacy measurement, conceptual framework
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