The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Mix zones: user privacy in location-aware services
Abstract
Privacy of personal location information is becoming an increasingly important issue. We refine a method, called the mix zone, developed to enhance user privacy in location-based services. We improve the mathematical model, examine and minimise computational complexity and develop a method of providing feedback to users.
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Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
The Hungarian method for the assignment problem
Kuhn, H. W. (1955) · Naval Research Logistics Quarterly · doi:10.1002/nav.3800020109 · Cited by 13,120
Cited by
Enhancing Security and Privacy in Traffic-Monitoring Systems
Hoh, B., Gruteser, M., Xiong, H., & Alrabady, A. (2006) · IEEE Pervasive Computing · doi:10.1109/mprv.2006.69 · Cited by 299
Post-Quantum Era Privacy Protection for Intelligent Infrastructures
Malina, L., Dzurenda, P., Ricci, S., Hajny, J., Srivastava, G., Matulevicius, R., Affia, A.-A. O., Laurent, M., Sultan, N. H., & Tang, Q. (2021) · IEEE Access · doi:10.1109/access.2021.3062201 · Cited by 111
Location privacy models in mobile applications: Conceptual view and research directions
Damiani, M. L. (2014) · GeoInformatica · doi:10.1007/s10707-014-0205-7 · Cited by 34
Metadata
- Authors
- Beresford, A. R., & Stajano, F.
- Venue
- IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second
- Publisher
- IEEE
- Published
- 2004-06-10
- Pages
- 127-131
- OpenAlex
- W2126818112
- Cited by
- 485
- References
- 2
- FWCI
- 9.98
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Beresford, A. R., & Stajano, F. (2004). Mix zones: user privacy in location-aware services. IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second. https://doi.org/10.1109/percomw.2004.1276918
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
