Location privacy: going beyond K-anonymity, cloaking and anonymizers

@article{Khoshgozaran2010LocationPG,
  title={Location privacy: going beyond K-anonymity, cloaking and anonymizers},
  author={Ali Khoshgozaran and Cyrus Shahabi and Houtan Shirani-Mehr},
  journal={Knowledge and Information Systems},
  year={2010},
  volume={26},
  pages={435-465}
}
With many location-based services, it is implicitly assumed that the location server receives actual users locations to respond to their spatial queries. Consequently, information customized to their locations, such as nearest points of interest can be provided. However, there is a major privacy concern over sharing such sensitive information with potentially malicious servers, jeopardizing users’ private information. The anonymity- and cloaking-based approaches proposed to address this problem… CONTINUE READING
Highly Cited
This paper has 99 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 63 extracted citations

PrAd: Enabling Privacy-Aware Location based Advertising

GeoPrivacy@SIGSPATIAL • 2015
View 8 Excerpts
Highly Influenced

Enhance Privacy Preserving In Location Based

2014
View 11 Excerpts
Highly Influenced

Privacy preservation in the dissemination of location data

SIGKDD Explorations • 2011
View 8 Excerpts
Highly Influenced

Private information retrieval in vehicular location-based services

2018 IEEE 4th World Forum on Internet of Things (WF-IoT) • 2018
View 1 Excerpt

Achieving location privacy through CAST in location based services

Journal of Communications and Networks • 2017
View 1 Excerpt

100 Citations

01020'11'13'15'17'19
Citations per Year
Semantic Scholar estimates that this publication has 100 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 38 references

Querying Databases Privately: A New Approach to Private Information Retrieval

Lecture Notes in Computer Science • 2004
View 8 Excerpts
Highly Influenced

Almost Optimal Private Information Retrieval

Privacy Enhancing Technologies • 2002
View 4 Excerpts
Highly Influenced

SPIRAL: A Scalable Private Information Retrieval Approach to Location Privacy

2008 Ninth International Conference on Mobile Data Management Workshops, MDMW • 2008
View 5 Excerpts

Similar Papers

Loading similar papers…