Privacy-preserving localization in crowdsourcing has drawn much attention recently. Under
the classical nonadjacent subtraction-based localization (NSL) model, existing solutions …

Crowdsourced localization plays a significant role for the applications in Internet of Things.
Even though existing studies have proposed privacy-preserving localization algorithms to …

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 …

Received Signal Strength (RSS) fingerprint-based localization has attracted a lot of research
effort and cultivated many commercial applications of location-based services due to its low …

Existing distributed localization methods rarely consider the location privacy preservation
problem, which however is nonnegligible. Regarding location privacy, typical solutions rely …

Data privacy, especially location privacy, is paramountly important for protecting individual's
information in smart cities in the big data era. One of the examples is in spatial …

How to utilize the resource-rich cloud to provide scalable indoor localization service to solve
the problem of limited user equipment resources while preventing privacy leakage has …

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 …

In recent years, with the popularity of smartphones, the indoor positioning systems based on
mobile crowdsensing (MCS) have gained considerable interest and exploit. However, it is …

With the rapid progression of Mobile Crowdsourcing (MCS) technology, its growing
influence in our daily lives has established it as a crucial component of modern society …