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Location-based services (LBSs) have raised serious privacy concerns in the society, due to the possibility of leaking a mobile user's location information in enabling location-dependent services. While existing location-privacy studies are mainly focused on preventing the leakage of a user's location in accessing the LBS server, the possible privacy leakage in the calculation of the user's location,...
Location based services (LBSs) have raised serious privacy concerns in the society, due to the possibility of leaking a mobile user's location information in enabling location-dependent services. While existing location-privacy studies are mainly focused on preventing the leakage of user's location in accessing the LBS server, the possible privacy leakage during the localization process has been largely...
Mobile location tracking based on the received signal strength (RSS) is known to be easily influenced by the shadowing effects in wireless propagation channels. In this paper, we exploit the correlation among shadowing losses at adjacent locations to improve the performance of location tracking. A location tracking algorithm consisting of a maximum likelihood estimator and a Kalman filter is proposed...
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