Radio Frequency (RF) fingerprinting, based onWiFi or cellular signals, has been a popular
approach to indoor localization. However, its adoption in the real world has been stymied by …

Counting the number of people inside a building, from outside and without entering the
building, is crucial for many applications. In this paper, we are interested in counting the total …

To simulate crowds at mass events, realistic movement data of people is required. Despite
their limited capacity for approximating real human mobility, synthetic movement models are …

Deployment of public wireless access points (also known as public hotspots) and the
prevalence of portable computing devices has made it more convenient for people on travel …

Knowing where and when large numbers of people spend time and how they move between
these places can inform many decisions in urban planning and design. Cell phones are an …

Opportunistic sensing allows applications to “task” mobile devices to measure context in a
target region. For example, one could leverage sensor-equipped vehicles to measure traffic …

This paper describes how mobile device apps can inadvertently broadcast personal
information through their use of wireless networks despite the correct use of encryption …

Mobile network operators can track subscribers via passive or active monitoring of device
locations. The recorded trajectories offer an unprecedented outlook on the activities of large …

Privacy inference through meta-data (eg, IP, Host) analysis of Wi-Fi traffic poses a potentially
more serious threat to user privacy. First, it provides a more efficient and scalable approach …

Indoor Positioning Systems (IPS) have recently received considerable attention, mainly
because GPS is unavailable in indoor spaces and consumes considerable energy. On the …