The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Private queries in location based services: anonymizers are not necessary
Abstract
Mobile devices equipped with positioning capabilities (e.g., GPS) can ask location-dependent queries to Location Based Services (LBS). To protect privacy, the user location must not be disclosed. Existing solutions utilize a trusted anonymizer between the users and the LBS. This approach has several drawbacks: (i) All users must trust the third party anonymizer, which is a single point of attack. (ii) A large number of cooperating, trustworthy users is needed. (iii) Privacy is guaranteed only for a single snapshot of user locations; users are not protected against correlation attacks (e.g., history of user movement).
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Cites
Mining association rules between sets of items in large databases
Agrawal, R., Imieliński, T., & Swami, A. (1993) · Proceedings of the 1993 ACM SIGMOD international conference on Management of data · doi:10.1145/170035.170072 · Cited by 14,907
Cited by
A framework for protecting worker location privacy in spatial crowdsourcing
To, H., Ghinita, G., & Shahabi, C. (2014) · Proceedings of the VLDB Endowment · doi:10.14778/2732951.2732966 · Cited by 361
Self-citationPrivacy in the Smart City—Applications, Technologies, Challenges, and Solutions
Eckhoff, D., & Wagner, I. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2748998 · Cited by 287
A privacy-preserving sensory data sharing scheme in Internet of Vehicles
Kong, Q., Lu, R., Ma, M., & Bao, H. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2017.12.003 · Cited by 85
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
- Ghinita, G., Kalnis, P., Khoshgozaran, A., Shahabi, C., & Tan, K.-L.
- Venue
- Proceedings of the 2008 ACM SIGMOD international conference on Management of data
- Publisher
- ACM
- Published
- 2008-06-09
- Pages
- 121-132
- ISSN
- 0730-8078 (ISSN-L)
- OpenAlex
- W2157855380
- Cited by
- 758
- References
- 1
- FWCI
- 38.95
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Ghinita, G., Kalnis, P., Khoshgozaran, A., Shahabi, C., & Tan, K.-L. (2008). Private queries in location based services: anonymizers are not necessary. Proceedings of the 2008 ACM SIGMOD international conference on Management of data. https://doi.org/10.1145/1376616.1376631
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
