The goal of privacy metrics is to measure the degree of privacy enjoyed by users in a system
and the amount of protection offered by privacy-enhancing technologies. In this way, privacy …

Background Data science offers an unparalleled opportunity to identify new insights into
many aspects of human life with recent advances in health care. Using data science in …

It is a well-known fact that the progress of personal communication devices leads to serious
concerns about privacy in general, and location privacy in particular. As a response to these …

In recent years, privacy-preserving data mining has been studied extensively, because of
the wide proliferation of sensitive information on the internet. A number of algorithmic …

This is a literature survey of computational location privacy, meaning computation-based
privacy mechanisms that treat location data as geometric information. This definition …

In recent years, location-based services have become very popular, mainly driven by the
availability of modern mobile devices with integrated position sensors. Prominent examples …

Preserving individual privacy when publishing data is a problem that is receiving increasing
attention. According to the fc-anonymity principle, each release of data must be such that …

The increasing trend of embedding positioning capabilities (for example, GPS) in mobile
devices facilitates the widespread use of location-based services. For such applications to …

Location-aware technology spawns numerous unforeseen pervasive applications in a wide
range of living, production, commence, and public services. This article provides an …

We survey the literature on the privacy of trajectory micro-data, ie, spatiotemporal
information about the mobility of individuals, whose collection is becoming increasingly …