Please use this identifier to cite or link to this item: https://doi.org/10.1109/TKDE.2007.190662
Title: Preventing location-based identity inference in anonymous spatial queries
Authors: Kalnis, P. 
Ghinita, G.
Mouratidis, K.
Papadias, D.
Keywords: Anonymity
Location-Based Services
Mobile systems
Privacy
Spatial databases
Issue Date: 2007
Source: Kalnis, P., Ghinita, G., Mouratidis, K., Papadias, D. (2007). Preventing location-based identity inference in anonymous spatial queries. IEEE Transactions on Knowledge and Data Engineering 19 (12) : 1719-1733. ScholarBank@NUS Repository. https://doi.org/10.1109/TKDE.2007.190662
Abstract: The increasing trend of embedding positioning capabilities (for example, GPS) in mobile devices facilitates the widespread use of Location-Based Services. For such applications to succeed, privacy and confidentiality are essential. Existing privacy-enhancing techniques rely on encryption to safeguard communication channels, and on pseudonyms to protect user identities. Nevertheless, the query contents may disclose the physical location of the user. In this paper, we present a framework for preventing location-based identity inference of users who Issue spatial queries to Location-Based Services. We propose transformations based on the well-established if-anonymity concept to compute exact answers for range and nearest neighbor search, without revealing the query source. Our methods optimize the entire process of anonymizing the requests and processing the transformed spatial queries. Extensive experimental studies suggest that the proposed techniques are applicable to real-life scenarios with numerous mobile users. © 2007 IEEE.
Source Title: IEEE Transactions on Knowledge and Data Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/41279
ISSN: 10414347
DOI: 10.1109/TKDE.2007.190662
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