This article proposes a systematic review of privacy in indoor positioning systems. The
selected 41 articles on location privacy preserving mechanisms employ non-inherently …

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 …

As the sensitivity of position, the privacy protection in both 5G positioning and its further
application in location-based services (LBSs) has been paid special attention and studied …

Wi-Fi fingerprint-based localization, a common indoor localization technique, plays an
important role in the Internet of Things, supporting a number of mobile applications, eg …

As an enabling technology for edge computing scenarios, indoor localization has a broad
prospect in a variety of location-based applications, such as tracking, navigating, and …

Cloud-based indoor positioning services have advantages over noncloud methods but also
confront serious privacy concerns. Existing privacy-preserving schemes are designed for …

Abstract Data Aggregation for IoT-WSN, based on Machine Learning (ML), allows the
Internet of Things (IoT) and Wireless Sensor Networks (WSN) to send accurate data to the …

Indoor localization techniques play a fundamental role in empowering plenty of indoor
location-based services (LBS) and exhibit great social and commercial values. The …

Spatial Crowdsourcing (SC) has been an indispensable Location-based Service where the
SC server assigns tasks to workers based on the locations of task requesters and workers …

Location-based service (LBS) servers are refined periodically due to the new type of privacy
issues involved while providing various social benefits to the users. In literature, many …