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Anonymous and Privacy-Sensitive Collection of Sensed Data in Location-Based Applications (2009)

Abstract
Existing approaches to privacy in location-based applications generally treat people as the entity of interest. Anonymity and privacy are then addressed through a fidelity tradeoff, obscuring either a person’s identify or location. But the intentional obfuscation of location can interfere with many potential applications. This position paper discusses hitchhiking, our new that treats locations as the entity of interest. Taking this new perspective allows applications that preserve personal privacy and anonymity while collecting sensed data from people who visit locations of interest.

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.135.8318
Source http://www.cs.cmu.edu/~kptang/pubs/chi2006-mososo-hh.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Keywords Interfaces, H1.2. Models and Principles, User/Machine
Type text
Language English
Relation 10.1.1.137.5034