On the data privacy practices of Android OEMs.

In this paper we present the first in-depth measurement study looking at the data privacy practices of the proprietary variants of the Android OS produced by Samsung, Xiaomi, Huawei and Realme. We address two questions: how are identifiers used in network connections and what types of data are transmitted. To answer these, we decrypt and decode the network traffic transmitted by a range of Android handsets.

Measurement-based evaluation of Google/Apple Exposure Notification API for proximity detection in a commuter bus.

We report on the results of a measurement study carried out on a commuter bus in Dublin, Ireland using the Google/Apple Exposure Notification (GAEN) API. This API is likely to be widely used by Covid-19 contact tracing apps. Measurements were collected between 60 pairs of Android handset locations and are publicly available.

Measurement-based evaluation of Google/Apple Exposure Notification API for proximity detection in a light-rail tram.

We report on the results of a Covid-19 contact tracing app measurement study carried out on a standard design of European commuter tram. Our measurements indicate that in the tram there is little correlation between Bluetooth received signal strength and distance between handsets. We applied the detection rules used by the Italian, Swiss and German apps to our measurement data and also characterised the impact on performance of changes in the parameters used in these detection rules.