The location-based server is presented with a set of k queries and is unable to distinguish between the client's query and the Sybil queries, thereby achieving k-anonymity. SybilQuery is a client-side tool that generates k 1 Sybil queries for each query by the client. This paper presents the design and implementation of SybilQuery, a fully decentralized and autonomous k-anonymity-based scheme to privately query location-based services. This may not be acceptable to clients that wish to protect the privacy of their location. To usefully query a location-based service, a mobile device must typically present its own location in its query to the server.
#Fractured whole when to spress space attack update#
Moreover, it significantly decreases the computational complexity and increases the efficiency by reducing the update costs for succeeding position updates.
PShare-BSP improves on our previous position sharing approaches : It uses a deterministic share generation approach based on binary space partitioning to avoid probabilistic attacks based, for instance, on Monte Carlo simulations. Nevertheless, LBAs can combine several shares from different LSs to increase their precision. Thus, a compromised provider only reveals user positions with degraded precision. PShare-BSP splits up precise user positions into position shares and distributes them to different LSs of different providers. To solve this problem, we present PShare-BSP, a novel approach for the secure management of private user positions on non-trusted LSs. However, storing precise user positions on LSs raises privacy concerns, in particular, if LS providers are non-trusted. Such LBAs are typically based on location servers (LSs) managing mobile object positions in a scalable fashion. Millions of users use location-based applications (LBAs) to share their positions with friends, request information from points of interest finders, or get notifications from event finders, etc.
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