Whenever our smartphones have their WiFi radio interface on, they periodically try to
connect to known wireless APs (networks the user has connected to in the past). This is …

To preserve people privacy and prevent device (and people) tracking, WiFi MAC address
randomization is been introduced by an ever increasing number of operating systems …

Privacy-preserved tracking of WiFi-enabled devices such as smartphones offers a highly
scalable solution for large-scale crowd movement studies. However, extracting knowledge …

Most of us carry mobile devices that routinely disseminate radio messages, as is the case
with Wi-Fi scanning and Bluetooth beaconing. We investigate whether it is possible to …

Location-based services, which employ data from smartphones, vehicles, etc., are growing
in popularity. To reduce the threat that shared location data poses to a user's privacy, some …

Monitoring the presence and movements of individuals or crowds in a given area can
provide valuable insight into actual behavior patterns and hidden trends. Therefore, it is …

As communications-enabled devices are becoming more ubiquitous, it becomes easier to
track the movements of individuals through the radio signals broadcasted by their devices …

Preservation of user privacy is paramount in the publication of datasets that contain fine-
grained information about individuals. The problem is especially critical in the case of mobile …

Crowd Monitoring is receiving much attention. An increasingly popular technique is to scan
for mobile devices, notably smartphones. We take a look at scanning for such devices by …

The analysis of multiple datasets on users' behaviors opens interesting information fusion
possibilities and, at the same time, creates a potential for re-identification and de …