The existing location privacy protection methods only provide the privacy protection
parameter k for users to choose to achieve their personalized privacy protection …

To benefit from a location-based service, a person must reveal her location to the service.
However, knowing the person's location might allow the service to re-identify the person …

The k anonymity was one of the first algorithms applied for privacy protection in location-
based service (LBS). The k anonymity exhibits its disadvantages gradually, such as being …

With the rapid development of Internet services, mobile communications, and IoT
applications, Location‐Based Service (LBS) has become an indispensable part in our daily …

For enjoying the convenience provided by location based services, the user needs to submit
his or her location and query to the LBS server. So there is a probability that the untrusted …

The tremendous development of location–based services and mobile devices has led to an
increase in location databases. Through the data mining process, valuable information can …

Among the previous approaches to privacy preservation, k-anonymity-based ones have
drawn much research attention [1–3]. However, some privacy concern will be aroused if …

The continuous advances in sensing and positioning technologies have resulted in a
dramatic increase in popularity of Location-Based Services (LBS). Nevertheless, the LBS …

The usage of Location-Based Services (LBS) holds a potential privacy issue when people
exchange their locations for information relative to these locations. While most people …

With the widespread application of location-based services, users' privacy concerns have
become the focus of users' attention. Based on the k-anonymity method and the SpaceTwist …