NDLI: An Approach for Ensuring Robust Safeguard against Location Privacy Violation

Content Provider	IEEE Xplore Digital Library
Author	Hasan, C.S. Ahamed, S.I.
Copyright Year	2010
Abstract	The challenge of preserving user’s location privacy is more important now than ever before with the proliferation of handheld devices and the pervasive use of location based services. To protect location privacy, we must ensure k-anonymity so that the user remains indistinguishable among k-1 other users. There is no better way but to use a location anonymizer (LA) to achieve k-anonymity. However, its knowledge of each user’s current location makes it susceptible to be a single-point-of-failure. In this paper, we propose a formal location privacy framework, termed SafeGrid that can work with or without an LA. In SafeGrid, LA is designed in such a way that it is no longer a single point of failure. In addition, it is resistant to known attacks and most significantly, the cloaking algorithm it employs meets reciprocity condition. Simulation results exhibit its better performance in query processing and cloaking region calculation compared with existing solutions. As an added feature, in SafeGrid a user has the option of not using LA, yet achieving as much obfuscation (deliberate degradation of location data) as needed without ever sacrificing performance gain.
Starting Page	82
Ending Page	91
File Size	793640
Page Count	10
File Format	PDF
ISBN	9781424475124
ISSN	07303157
e-ISBN	9781424475131
e-ISBN	9780769540856
DOI	10.1109/COMPSAC.2010.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-19
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Privacy Query processing Communication channels Resistance Computer architecture Quality of service Performance gain Reciprocity Condition Location Privacy Location-based Service SafeGrid
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Software

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